Podcasts about sanyam bhutani

YT Channel: https://www.youtube.com/@ChaiTimeDataScience Learn more about H2O's Hydrogen Torch app here: https://h2o.ai/platform/ai-cloud/make/hydrogen-torch/ In this "episode", Sanyam Bhutani will host the the world's top kagglers and best data scientists to learn and debate the best practises for training ml models. We will learn from their experience of having won multiple competitions and built many incredible products at H2O: what are the best practises for taming your ml model Panelists: Dmitry Gordeev: https://www.kaggle.com/dott1718 https://twitter.com/dott1718 https://www.linkedin.com/in/dmitry-gordeev-50116023/?originalSubdomain=at Gabor Fodor: https://www.kaggle.com/gaborfodor https://www.linkedin.com/in/gábor-fodor-6a081548/?originalSubdomain=hu Pascal Pfeiffer: https://www.kaggle.com/ilu000 https://www.linkedin.com/in/pascal-pfeiffer/ Philipp Singer: https://www.kaggle.com/philippsinger https://twitter.com/ph_singer https://www.linkedin.com/in/philippsinger/ Yauhen Babakhin: https://www.kaggle.com/ybabakhin https://www.linkedin.com/in/yauhenbabakhin/ Sanyam Bhutani: https://www.kaggle.com/init27 https://twitter.com/bhutanisanyam1 https://www.linkedin.com/in/sanyambhutani/ A show for interviews with Practitioners, Kagglers & Researchers hosted by Sanyam.

Channel: http://youtube.com/c/ChaiTimeDataScience/ Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this Episode, Sanyam Bhutani interviews Amed Coulibaly about his journey and reflection on reaching Kaggle Competitions Grandmaster. They also understand his team's 3rd place solution to recently ended Feedback competition Links: Solution: https://www.kaggle.com/competitions/feedback-prize-english-language-learning/discussion/369609 Follow: Amed Coulibaly: Twitter: https://twitter.com/Amedprof Linkedin: https://www.linkedin.com/in/amed-coulibaly-94150610a/ Kaggle: https://www.kaggle.com/amedprof Sanyam Bhutani: Twitter: https://twitter.com/bhutanisanyam1 LinkedIn: https://www.linkedin.com/in/sanyambhutani/ Kaggle: https://www.kaggle.com/init27 Blog: sanyambhutani.com A show for Interviews with Practitioners, Kagglers & Researchers, and all things Data Science hosted by Sanyam Bhutani.

Array Cast - July 8, 2022 Show Notes[01] 00:01:15 Dyalog Problem /solving Contest https://contest.dyalog.com/?goto=welcome[02] 00:01:35 Dyalog Early Bird Discount https://www.dyalog.com/user-meetings/dyalog22.htm[03] 00:02:40 Jeremy Howard wikipedia https://en.wikipedia.org/wiki/Jeremy_Howard_(entrepreneur) Fastmail https://www.fastmail.com/ Optimal Decisions Group https://www.finextra.com/newsarticle/18047/choicepoint-acquires-insurance-analytics-firm-optimal-decisions[04] 00:04:30 APL Study Group https://forums.fast.ai/t/apl-array-programming/97188[05] 00:05:50 McKinsey and Company https://en.wikipedia.org/wiki/McKinsey_%26_Company[06] 00:10:20 AT Kearney https://en.wikipedia.org/wiki/AT_Kearney[07] 00:12:33 MKL (Intel) https://en.wikipedia.org/wiki/Math_Kernel_Library[08] 00:13:00 BLAS http://www.netlib.org/blas/[09] 00:13:11 Perl BQN https://mlochbaum.github.io/BQN/running.html[10] 00:14:06 Raku https://en.wikipedia.org/wiki/Raku_%28programming_language%29[11] 00:15:45 kaggle https://www.kaggle.com/ kaggle competition https://www.kaggle.com/competitions/unimelb/leaderboard[12] 00:16:52 R https://en.wikipedia.org/wiki/R_(programming_language)[13] 00:18:50 Neural Networks https://en.wikipedia.org/wiki/Artificial_neural_network[14] 00:19:50 Enlitic https://www.enlitic.com/[15] 00:20:01 Fast.ai https://www.fast.ai/about/[16] 00:21:02 Numpy https://numpy.org/[17] 00:21:26 Leading Axis Theory https://aplwiki.com/wiki/Leading_axis_theory[18] 00:21:31 Rank Conjunction https://code.jsoftware.com/wiki/Vocabulary/quote[19] 00:21:40 Einstein notation https://en.wikipedia.org/wiki/Einstein_notation[20] 00:22:30 GPU https://en.wikipedia.org/wiki/Graphics_processing_unit[21] 00:22:55 CUDA https://en.wikipedia.org/wiki/CUDA[22] 00:23:30 Map https://en.wikipedia.org/wiki/Map_(higher-order_function)[23] 00:24:05 Data Science https://en.wikipedia.org/wiki/Data_science[24] 00:25:15 First Neural Network https://en.wikipedia.org/wiki/Frank_Rosenblatt[25] 00:28:51 Numpy Another Iverson Ghost https://dev.to/bakerjd99/numpy-another-iverson-ghost-9mc[26] 00:30:11 Pivot Tables https://en.wikipedia.org/wiki/Pivot_table[27] 00:30:36 SQL https://en.wikipedia.org/wiki/SQL[28] 00:31:25 Larry Wall "The three chief virtues of a programmer are: Laziness, Impatience and Hubris." From the glossary of the first Programming Perl book.[29] 00:32:00 Python https://www.python.org/[30] 00:36:25 Regular Expressions https://en.wikipedia.org/wiki/Regular_expression[31] 00:36:50 PyTorch https://pytorch.org/[32] 00:37:39 Notation as Tool of Thought https://www.jsoftware.com/papers/tot.htm[33] 00:37:55 Aaron Hsu codfns https://scholarworks.iu.edu/dspace/handle/2022/24749[34] 00:38:40 J https://www.jsoftware.com/#/[35] 00:39:06 Eric Iverson on Array Cast https://www.arraycast.com/episodes/episode10-eric-iverson[36] 00:40:18 Triangulation Jeremy Howard https://www.youtube.com/watch?v=hxB-rEQvBeM[37] 00:41:48 Google Brain https://en.wikipedia.org/wiki/Google_Brain[38] 00:42:30 RAPIDS https://rapids.ai/[39] 00:43:40 Julia https://julialang.org/[40] 00:43:50 llvm https://llvm.org/[41] 00:44:07 JAX https://jax.readthedocs.io/en/latest/notebooks/quickstart.html[42] 00:44:21 XLA https://www.tensorflow.org/xla[43] 00:44:32 MILAR https://www.tensorflow.org/mlir[44] 00:44:42 Chris Lattner https://en.wikipedia.org/wiki/Chris_Lattner[45] 00:44:53 Tensorflow https://www.tensorflow.org/[46] 00:49:33 torchscript https://pytorch.org/tutorials/beginner/Intro_to_TorchScript_tutorial.html[47] 00:50:09 Scheme https://en.wikipedia.org/wiki/Scheme_(programming_language)[48] 00:50:28 Swift https://en.wikipedia.org/wiki/Swift_(programming_language)[49] 00:51:10 DragonBox Algebra https://dragonbox.com/products/algebra-12[50] 00:52:47 APL Glyphs https://aplwiki.com/wiki/Glyph[51] 00:53:24 Dyalog APL https://www.dyalog.com/[52] 00:54:24 Jupyter https://jupyter.org/[53] 00:55:44 Jeremy's tweet of Meta Math https://twitter.com/jeremyphoward/status/1543738953391800320[54] 00:56:37 Power function https://aplwiki.com/wiki/Power_(function)[55] 01:03:06 Reshape ⍴ https://aplwiki.com/wiki/Reshape[56] 01:03:40 Stallman 'Rho, rho, rho' https://stallman.org/doggerel.html#APL[57] 01:04:20 APLcart https://aplcart.info/ BQNcrate https://mlochbaum.github.io/bqncrate/[58] 01:06:12 J for C programmers https://www.jsoftware.com/help/jforc/contents.htm[59] 01:07:54 Transpose episode https://www.arraycast.com/episodes/episode29-transpose[60] 01:10:00 APLcart video https://www.youtube.com/watch?v=r3owA7tfKE8[61] 01:12:28 Functional Programming https://en.wikipedia.org/wiki/Functional_programming[62] 01:13:00 List Comprehensions https://docs.python.org/3/tutorial/datastructures.html#list-comprehensions[63] 01:13:30 BQN to J https://mlochbaum.github.io/BQN/doc/fromJ.html BQN to Dyalog APL https://mlochbaum.github.io/BQN/doc/fromDyalog.html[64] 01:18:15 Einops https://cgarciae.github.io/einops/1-einops-basics/[65] 01:19:30 April Fools APL https://ci.tc39.es/preview/tc39/ecma262/sha/efb411f2f2a6f0e242849a8cc8d7e21bbcdff543/#sec-apl-expression-rules[66] 01:20:35 Flask library https://flask.palletsprojects.com/en/2.1.x/[67] 01:21:22 JuliaCon 2022 https://juliacon.org/2022/[68] 01:28:05 Myelination https://en.wikipedia.org/wiki/Myelin[69] 01:29:15 Sanyam Bhutani interview https://www.youtube.com/watch?v=g_6nQBsE4pU&t=2150s[70] 01:31:27 Jo Boaler Growth Mindset https://www.youcubed.org/resource/growth-mindset/[71] 01:33:45 Discovery Learning https://en.wikipedia.org/wiki/Discovery_learning[72] 01:37:05 Iverson Bracket https://en.wikipedia.org/wiki/Iverson_bracket[73] 01:39:14 Radek Osmulski Meta Learning https://rosmulski.gumroad.com/l/learn_machine_learning[74] 01:40:12 Top Down Learning https://medium.com/@jacksonbull1987/top-down-learning-4743f16d63d3[75] 01:41:20 Anki https://apps.ankiweb.net/[76] 01:43:50 Lex Fridman Interview https://www.youtube.com/watch?v=J6XcP4JOHmk Deep Talks #54 https://www.youtube.com/watch?v=n7YVlPszaWc0

Check out this report by Boris about DALL-E mini: https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini-Generate-images-from-any-text-prompt--VmlldzoyMDE4NDAy (https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini-Generate-images-from-any-text-prompt--VmlldzoyMDE4NDAy) https://wandb.ai/_scott/wandb_example/reports/Collaboration-in-ML-made-easy-with-W-B-Teams--VmlldzoxMjcwMDU5 (https://wandb.ai/_scott/wandb_example/reports/Collaboration-in-ML-made-easy-with-W-B-Teams--VmlldzoxMjcwMDU5) https://twitter.com/weirddalle Connect with Boris:

Tristan Handy is CEO and founder of dbt Labs. dbt (data build tool) simplifies the data transformation workflow and helps organizations make better decisions. Lukas and Tristan dive into the history of the modern data stack and the subsequent challenges that dbt was created to address; communities of identity and product-led growth; and thoughts on why SQL has survived and thrived for so long. Tristan also shares his hopes for the future of BI tools and the data stack. Show notes (transcript and links): http://wandb.me/gd-tristan-handy --- ⏳ Timestamps: 0:00 Intro 0:40 How dbt makes data transformation easier 4:52 dbt and avoiding bad data habits 14:23 Agreeing on organizational ground truths 19:04 Staying current while running a company 22:15 The origin story of dbt 26:08 Why dbt is conceptually simple but hard to execute 34:47 The dbt community and the bottom-up mindset 41:50 The future of data and operations 47:41 dbt and machine learning 49:17 Why SQL is so ubiquitous 55:20 Bridging the gap between the ML and data worlds 1:00:22 Outro --- Connect with Tristan:

Johannes Otterbach is VP of Machine Learning Research at Merantix Momentum, an ML consulting studio that helps their clients build AI solutions. Johannes and Lukas talk about Johannes' background in physics and applications of ML to quantum computing, why Merantix is investing in creating a cloud-agnostic tech stack, and the unique challenges of developing and deploying models for different customers. They also discuss some of Johannes' articles on the impact of NLP models and the future of AI regulations. Show notes (transcript and links): http://wandb.me/gd-johannes-otterbach --- ⏳ Timestamps: 0:00 Intro 1:04 Quantum computing and ML applications 9:21 Merantix, Ventures, and ML consulting 19:09 Building a cloud-agnostic tech stack 24:40 The open source tooling ecosystem 30:28 Handing off models to customers 31:42 The impact of NLP models on the real world 35:40 Thoughts on AI and regulation 40:10 Statistical physics and optimization problems 42:50 The challenges of getting high-quality data 44:30 Outro --- Connect with Johannes:

Mircea Neagovici is VP, AI and Research at UiPath, where his team works on task mining and other ways of combining robotic process automation (RPA) with machine learning for their B2B products. Mircea and Lukas talk about the challenges of allowing customers to fine-tune their models, the trade-offs between traditional ML and more complex deep learning models, and how Mircea transitioned from a more traditional software engineering role to running a machine learning organization. Show notes (transcript and links): http://wandb.me/gd-mircea-neagovici --- ⏳ Timestamps: 0:00 Intro 1:05 Robotic Process Automation (RPA) 4:20 RPA and machine learning at UiPath 8:20 Fine-tuning & PyTorch vs TensorFlow 14:50 Monitoring models in production 16:33 Task mining 22:37 Trade-offs in ML models 29:45 Transitioning from software engineering to ML 34:02 ML teams vs engineering teams 40:41 Spending more time on data 43:55 The organizational machinery behind ML models 45:57 Outro --- Connect with Mircea:

The show becomes "Coffee Time Data Science" for a one-time special episode! The genesis for this interview was this twitter thread: https://twitter.com/jeremyphoward/status/1503920390447730690 Video version: https://www.youtube.com/watch?v=g_6nQBsE4pU Links from the show: fastai Course: https://course.fast.ai How not to do fastai: https://medium.com/@init_27/how-not-to-do-fast-ai-or-any-ml-mooc-3d34a7e0ab8c Meta Learning Book: https://radekosmulski.gumroad.com/l/learn_deep_learning Rachel's advice on Blogging: https://medium.com/@racheltho/why-you-yes-you-should-blog-7d2544ac1045 In the frame: Jeremy Howard: https://twitter.com/jeremyphoward Sanyam Bhutani: https://twitter.com/bhutanisanyam1 OUTLINE: 0:00 - Intro 2:40 - Reaching Kaggle Grandmaster Tier 4:46 - Current Work 6:30 - University Education 12:00 - Signing up for fastai 15:49 - Failures with fastai 18:29 - Tenacity 23:40 - Content Creation 33:10 - Sharing your work 36:09 - Educational Content 41:49 - Failing Google AI Residency 46:34 - Starting the podcast 48:19 - Question to Jeremy 52:40 - Thank you

Video Version: https://youtu.be/qObfeWYbrPM In this episode, Sanyam Bhutani interviews the hosts from AI Today Podcast: Kathleen Walch, Ronald Schmelzer They talk about their journey into AI, creating AI Content, and the AI Today Podcast. Links: AI Today Podcast: https://www.cognilytica.com/aitoday/ Cognalytica: https://www.cognilytica.com Follow: Kathleen Walch: Twitter: https://twitter.com/kath0134 Linkedin: https://www.linkedin.com/in/kathleen-walch-50185112/ Ronald Schmelzer: Twitter: https://twitter.com/rschmelzer Linkedin: https://www.linkedin.com/in/rschmelzer/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Sanyam Bhutani, host of Chai Time Data Science podcast. As his podcast talks about Data Science, he shares with us where things really stand in enterprises with data science, some of the biggest trends emerging in data and data science today, and some of the mundane but crucial aspects to data science that people need to be aware of. Continue reading AI Today Podcast: Data science in the Enterprise: Interview with Sanyam Bhutani, host of Chai Time Data Science podcast at Cognilytica.

#chai #mlnews #nvidia Follow Saynam here: YouTube: https://www.youtube.com/c/ChaiTimeDat... Twitter: https://twitter.com/bhutanisanyam1 Apple Podcasts: https://podcasts.apple.com/us/podcast... LinkedIn: https://www.linkedin.com/in/sanyambhu... Spotify: https://open.spotify.com/show/7IbEWJj... Anchor.fm RSS: https://anchor.fm/s/c19772c/podcast/rss Outline: 0:00 - Intro & Overview 1:30 - Amazon's MMO may destroy gaming GPUs 2:40 - OpenAI pivots away from Robotics 3:35 - Google parent Alphabet launches Intrinsic 4:55 - AI learns how vegetables taste 5:55 - NASA uses AI to better understand the sun 6:50 - Man used AI to bring back deceased fiancee 7:45 - Robot collision sparks warehouse fire 8:20 - AI deduces patients' racial identities from medical records 9:40 - AlphaFold protein structure database 10:15 - ICCV BEHAVIOR challenge 11:05 - IBM, MIT, Harvard release Common Sense database 11:35 - High quality image generation using diffusion models 12:50 - Conclusion References: 1 Amazon's new MMO may be bricking Nvidia 3090s https://www.theverge.com/2021/7/21/22... https://www.youtube.com/watch?v=KLyNF... 2 Open AI pivotes from Robots https://venturebeat.com/2021/07/23/ai... 3 Google parent Alphabet launches Intrinsic: a new company to build software for industrial robots https://www.theverge.com/2021/7/23/22... Introducing Intrinsic https://blog.x.company/introducing-in... https://x.company/projects/intrinsic/ https://www.forbes.com/sites/jennifer... 4 Artificial Intelligence Helps Improve NASA's Eyes on the Sun https://www.nasa.gov/feature/goddard/... 5 A man used AI to bring back his deceased fiancé. But the creators of the tech warn it could be dangerous https://www.businessinsider.co.za/man... 6 Robot collision at Ocado warehouse near London sparks fire, delaying customer orders https://www.theverge.com/2021/7/18/22... 10 Reading Race: AI Recognizes Patient's Racial Identity In Medical Images https://arxiv.org/pdf/2107.10356.pdf 11 AlphaFold Protein Structure Database https://alphafold.ebi.ac.uk https://www.theverge.com/2021/7/22/22... 12 Behavior Challenge http://svl.stanford.edu/behavior/chal... 13 Researchers from IBM, MIT and Harvard Announced The Release Of DARPA “Common Sense AI” Dataset Along With Two Machine Learning Models At ICML 2021 https://www.marktechpost.com/2021/07/... https://www.reddit.com/r/MachineLearn... 14 Google uses diffusion model for image generation https://www.reddit.com/r/MachineLearn... https://www.reddit.com/r/MachineLearn... Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://discord.gg/4H8xxDF BitChute: https://www.bitchute.com/channel/yann... Minds: https://www.minds.com/ykilcher Parler: https://parler.com/profile/YannicKilcher LinkedIn: https://www.linkedin.com/in/yannic-ki... BiliBili: https://space.bilibili.com/1824646584 If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannick... Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq

Video Version: https://youtu.be/W3aWEXqIkWk Blog Overview: http://sanyambhutani.com/interview-with-the-nvidia-acm-recsys-2021-winning-team Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this Episode, Sanyam Bhutani interviews a panel from the ACM RecSys Winning competition team at NVIDIA. They explain why are RecSys systems such a hard problem, how can GPUs accelerate these, how do we productize such solutions. The team also does a ground basic to a complete overview of their solution. They understand the team's approaches to the problem, how did they arrive at the solution, and the tricks that they discovered and very generously shared in this interview Links: Interview with Even Oldridge: https://youtu.be/-WzXIV8P_Jk Interview with Chris Deotte: https://youtu.be/QGCvycOXs2M Open Source Solution: https://github.com/NVIDIA-Merlin/competitions/tree/main/RecSys2021_Challenge Paper Link: https://github.com/NVIDIA-Merlin/competitions/blob/main/RecSys2021_Challenge/GPU-Accelerated-Boosted-Trees-and-Deep-Neural-Networks-for-Better-Recommender-Systems.pdf Follow: Benedikt Schifferer: Linkedin: https://www.linkedin.com/in/benedikt-schifferer/ Bo Liu: Twitter: https://twitter.com/boliu0 Kaggle: https://www.kaggle.com/boliu0 Chris Deotte: Twitter: https://twitter.com/ChrisDeotte Kaggle: https://www.kaggle.com/cdeotte Even Oldridge Twitter: https://twitter.com/even_oldridge Linkedin: https://www.linkedin.com/in/even-oldridge/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers, and all things Data Science hosted by Sanyam Bhutani.

Personal Note: This was a huge honor for me to meet Harrison and have him on the podcast! In this episode, Sanyam Bhutani interviews THE SentDex about his journey as an entrepreneur, YouTube content creator, Educator and Author. They talk about his journey on and off the platform and the R&D that happens behind the scenes for the incredible videos that we get to see. They also discuss how the NVIDIA DGX A-100 box has been helping Harrison for the few months of usage. Thanks to our friends at NVIDIA for helping make this conversation happen! Link: NNFS.io: https://nnfs.io DGX-A100: https://www.nvidia.com/en-in/data-center/dgx-a100/ Interview with Charlie Boyle: https://www.youtube.com/watch?v=SiUnKGD90uI Follow: Harrison Kinsley: YouTube: https://www.youtube.com/user/sentdex Twitter: https://twitter.com/Sentdex Website: https://hkinsley.com Linkedin: https://www.linkedin.com/in/hkinsley/ Instagram : https://www.instagram.com/sentdex/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. #Python #machinelearning #SentDex

Personal Note: I'm so happy to release a new interview after a really long break! Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Clair Sullivan, Graph Data Science Advocate at Neo4j They talk about Clair's journey from taking up the challenge and becoming an engineer to later transitioning from academia back into the industry Links: Neo4j: https://neo4j.com NODES 2021: https://neo4j.com/event/nodes-2021/ Follow: Clair Sullivan: https://twitter.com/CJLovesData1 https://www.linkedin.com/in/dr-clair-sullivan-09914342/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

Are you interested in getting ahead in data science? On this episode, you'll meet Sanyam Bhutani who studied computer science but found his education didn't prepare him for getting a data science-focused job. That's where he started his own path of self-education and advancement. Now he's working at an AI startup and ranking high on Kaggle. Links from the show Sanyam on Twitter: @bhutanisanyam1 Chai Time Data Science Podcast: youtube.com Fast AI: fast.ai How not to do Fast.ai (or any ML MOOC): medium.com First Kaggle Competition Experience: towardsdatascience.com Kaggle competitions: kaggle.com Radek Osmulski interview: youtube.com Dima Damen interview: youtube.com Andrada Olteanu interview: youtube.com H2O Wave: wave.h2o.ai Keras: keras.io Tensorflow: tensorflow.org PyTorch: pytorch.org Quick, Draw! Doodle Recognition Challenge: kaggle.com Developers, Developers, Developers song: soundcloud.com YouTube Live Stream: youtube.com Episode transcripts: talkpython.fm Sponsors Sentry Error Monitoring, Code TALKPYTHON YourBase AssemblyAI Talk Python Training

In today's episode, we'll be exploring the impact digital transformation has on individuals, businesses, and society at large. Digital transformation is changing how we work and live. Quickly. As business and market requirements shift, we all must adapt to keep pace. Lifelong learning is a strategy we can all apply as we transition into an even more digital world. Sanyam Bhutani is a Udacity student and lifelong learner. Listen as he shares his learning journey with us today. Without further ado, meet Sanyam — avid blogger, Hacker Noon journalist, machine learning engineer, and so much more.

We have Sanyam in the show who is a Machine Learning Engineer and AI content creator. And he holds one of the most popular shows in data science, which is Chai Time Data Science. He's a community taught Machine Learning Engineer and he takes pride in that. So he loves to give back to the community by writing blogs on medium and high canoe and moderating the biggest city groups in the Data Science community. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

Personal Note: Season 1 Finale had to be my interview with Emil. Huge thanks everyone for being a part of this journey! Video Version: https://youtu.be/ENbKecYgITA Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Emil Wallner, Artist in Residence at Google. They talk about Emil's journey from being a kind of a village in Africa to travelling and transitioning into AI. They discuss Emil's tweet storms, his self-taught journey and beyond Link: Meta thread to all of Emil's tweetstorms: https://twitter.com/bhutanisanyam1/status/1278036597523406849?s=20 Follow: Emil Wallner: https://twitter.com/EmilWallner https://github.com/emilwallner Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Personal Note: This was one my favourite Kaggle related interviews. Personally, I found Andrada's journey to be very relatable. Video Version: https://youtu.be/nshTx_EfRKU Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Andrada Olteanu about her journey to transitioning into Data Science and Learning on Kaggle. They discuss the struggles of learning something new and how to approach Kaggle. Follow: Andrada Olteanu: https://twitter.com/andradaolteanuu https://www.linkedin.com/in/andrada-olteanu-3806a2132/ https://www.kaggle.com/andradaolteanu Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/xDhVLLc4pUk Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Laura Leal Taixe. They talk about Laura's journey into Academia and her research at the Dynamic Vision & Learning Group. Follow: Laura Leal Taixé: https://twitter.com/lealtaixe https://www.youtube.com/channel/UCQVCsX1CcZQr0oUMZg6szIQ https://dvl.in.tum.de/team/lealtaixe/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/xbcGj_mtTB0 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews the creator of PyTorch Lightning: William Falcon They talk about William's journey from being in the military to the financial world, learning how to code and eventually transitioning into Data Science. They discuss the PyTorch lightning story and William's research, Grid.ai Links: Grid.ai: https://www.grid.ai PyTorch Lightning: https://www.pytorchlightning.ai Blog: https://www.williamfalcon.com/accessible-ai-blog Follow: William Falcon: https://twitter.com/_willfalcon https://www.williamfalcon.com Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/ODSgwUAzJj4 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Katy Warr from Roke Manor Research, author of Strengthening DNNs book. They talk about Katy's journey into AI, her work at Roke and the story of the book. They also talk about Fooling AI, DNNs, adversarial attacks and how to prevent these Book: https://www.oreilly.com/library/view/strengthening-deep-neural/9781492044949/ Follow: Katy Warr: https://www.linkedin.com/in/katywarr Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video version: https://youtu.be/g_lBMheQcpw Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Kaggle Grandmaster and Data Scientist: Laura Fink. They talk about Laura's journey from Physics into Data Science, her journey into creating the amazing storytelling notebooks on Kaggle and general tips & suggestions to Kaggle Noobs Follow: Laura Fink: https://www.linkedin.com/in/laura-f-ab2010170 https://www.kaggle.com/allunia Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/-Iem6tUnm2A Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews co-founder & CEO of MonteCarlo Data: Barr Moses. MonteCarlo Data is trying to solve the issues of reliability and downtime of data. They talk a lot about Data Downtime, observability and all of the issues that originate out of having "bad" data or issues with data. They also talk about Barr's journey into Data. Follow: https://www.montecarlodata.com Barr Moses: https://twitter.com/bm_datadowntime Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/PaaKh7Tpzxg Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Dr David Luebke, VP of Graphics Research at NVIDIA. They talk about the fascinating world of Graphics and the research that goes on behind the scenes. Ray-Tracing and its promise. They also discuss NVIDIA's recent improvements in GANs: "Training GANs with Limited Data" paper Links: Interview with Bryan Catanzzaro: https://youtu.be/guJT5GOiNjA Paper Link: https://arxiv.org/abs/2006.06676 Follow: David Luebke: https://twitter.com/davedotluebke Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/Ki3SiI0nzF8 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Senior CV Researcher at CTU: Torsten Sattler. Torsten's research interests span: 3D Computer Vision, Localization, AR, VR, self driving cars. Like all research conversations, this was really an insightful one They also dive into his recent research as a proxy to understanding how it Torsten approaches the search problems. Links: http://openaccess.thecvf.com/content_cvpr_2018/papers/Schonberger_Semantic_Visual_Localization_CVPR_2018_paper.pdf https://openaccess.thecvf.com/content_CVPR_2019/papers/Dusmanu_D2-Net_A_Trainable_CNN_for_Joint_Description_and_Detection_of_CVPR_2019_paper.pdf Follow: Torsten Sattler: https://twitter.com/sattlertorsten Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd #GoogleAI #Research #MultiModal

Video Version: https://youtu.be/35Gd8bBDwdo Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews THE PROFESSOR, Zachary Mueller. This is Part 2 of the conversation and they discuss Zach's journey from learning fastai to actively contributing to it and moderating the forums. They also discuss Zach's blogposts, his course and learnings from a recent internship. Follow: Zachary Mueller: https://twitter.com/thezachmueller https://muellerzr.github.io/fastblog/ https://www.youtube.com/channel/UCmKoQOD8uBqsRS8XDdSgrlQ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/2tLNfR2whio Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Dr. Arsha Nagrani. Arsha has been working as a researcher at the intersection of audio, video, or audio and computer vision. They try to uncover what the field is really about. She has also co organised challenges for problems in this domain. They talk talk about all of these works along with her approach to research. Links: Interview with Dima: https://youtu.be/GXqq_hj-UuY Follow: Arsha Nagrani: https://twitter.com/nagraniarsha https://www.linkedin.com/in/arsha-nagrani-601a726b Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/2MT7bYZsiV4 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Ekaterina Kochmar: Lecturer and Researcher at Cambridge University, Co-Founder & CSO at Korbit.ai As you might know, Sanyam is a fan of learning to learn - The topic in general, they bring back the conversation in this episode. Ekaterina has been working on automated language teaching and assessment, which is using machine learning or different tools to augment teaching as an intelligent tutor to build intelligent systems for teaching different concepts for language, specifically English language, and even beyond. They have a deeper dive into this conversation discuss: - What does building a system like this take? - What research goes into it? - What are the interesting trends here? They also dive into Katrina's approach of research, and what does a research pipeline for her look like. Links: https://www.manning.com/books/getting-started-with-natural-language-processing Follow: Ekaterina Kochmar: https://www.linkedin.com/in/ekaterina-kochmar-0a655b14/ https://www.cl.cam.ac.uk/~ek358/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/H0NfDIDcu84 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews a founder from South Africa, of the ranks of Elon Musk's Genius, Founder & CEO at Numerai: Richard Craib They talk about Richard's journey into the world of Finance, Trading and Data Science. They also discuss the Numerai story, the hedge fund, the competition and recently announced signals, along with the "Master Plan" Links: Signals: https://signals.numer.ai https://medium.com/numerai/numerais-master-plan-1a00f133dba9 Follow: Richard Craib: https://twitter.com/richardcraib https://www.linkedin.com/in/richardcraib/ http://twitter.com/numerai Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/pgzEqhuGBd0 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani talks Python to the amazing podcaster, content creator and educator: Michael Kennedy, the host of talk Python podcast and Python Bytes podcast, In this episode, they talk about Michael's journey in programming and with Python. Michael has been hosting the podcast for five years and has been in the programming world for even longer, they dive into what he's learned through this and his perspective, how it has evolved through creating content, and to creating these courses and, and eventually a business around it as well. Links: https://talkpython.fm/home Automating the saw: https://www.youtube.com/watch?v=JEImn7s7x1o The ML leads to 50 exoplanet discovery: https://www.techrepublic.com/article/machine-learning-algorithm-confirms-50-new-exoplanets-in-historic-first/ Follow: Michael Kennedy: https://twitter.com/mkennedy https://www.linkedin.com/in/mkennedy/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/SiUnKGD90uI Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews the VP, GM of DGX Systems at NVIDIA. NVIDIA recently unveiled their new DGX A100 systems and new A100 GPUs, that are really pushing the envelope of super computing. In this episode, they discuss the engineering that goes behind the scenes, how the systems are designed and their origin, how these have evolved over the years and NVIDIA's design philosophy as a proxy to understanding how these might bleed into consumer GPUs over time. Links: Links: https://nvda.ws/32HaMCm https://nvidianews.nvidia.com/news/nvidia-dgx-station-a100-offers-researchers-ai-data-center-in-a-box https://www.youtube.com/watch?v=TKtN04z7Q5Q Follow: Charlie Boyle: https://www.linkedin.com/in/charlie-boyle-0201a8/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/RvwynqDUoQE Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews PhD Student: Tim Dettmers for the second time on the show! In this episode, they talk a lot about research in general, and the personal aspect of research, which isn't covered as much: How you should pick a grad school, Is creativity important in academia They talk a lot about personal side of things while you're going through the process of exploration in research, or in life in general They also talked about the RTX 3000 series, and discussed a few FAQs based on these. Links: https://timdettmers.com/2020/03/10/how-to-pick-your-grad-school/ https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/ Follow: Tim Dettmers: https://twitter.com/tim_dettmers https://timdettmers.com Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd #GoogleAI #Research #MultiModal

Video Version: https://youtu.be/1O15z3Bv3UE In this episode, Sanyam Bhutani interviews the Beluga of Kaggle World, Competitions GM: Gabor Fodor. They talk about Gabor's journey into Data Science, Kaggle and his 10th Pos Solo Gold Finish on the Cornell Birdcall competition Links: Comp Link: https://www.kaggle.com/c/birdsong-recognition Writeup: https://www.kaggle.com/c/birdsong-recognition/discussion/183407 Follow: Gabor Fodor: https://twitter.com/BelugaFodor https://www.linkedin.com/in/gábor-fodor-6a081548/ https://www.kaggle.com/gaborfodor Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/n2bUu9AcGnE Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews one of his teachers, content creator and Quantum AI Research Scientist: Luis Serrano In this episode, they talk about Luis' process of creating the amazing videos for anyone to enjoy on his YouTube channel, they talk about his process of creating this, his journey of teaching thousands, now millions of people through his content. They also discuss about his book, his upcoming book titled Grokking Machine Learning, which is as you might expect him for anyone who's interested in machine learning, there are no prerequisites. This interview is filled with different golden advices someone with Luis' background of having taught so many people would have. Links: Grokking Machine Learning: https://www.google.com/search?client=safari&rls=en&q=Grokking+Machine+Learning&ie=UTF-8&oe=UTF-8 Follow: Luis Serrano: https://twitter.com/luis_likes_math https://www.linkedin.com/in/luisgserrano/ https://serrano.academy Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd #GoogleAI #Research #MultiModal

Sanyam Bhutani is a ML Engineer and AI Content Creator at H2O.ai. He is also an inc42, Economic Times recognized Machine Learning Practitioner. Sanyam is an x1 Master and x2 Expert on Kaggle, ranked in Global Top 1% as well as an active AI blogger on the medium, Hackernoon, with over 1 Million+ Views overall.Sanyam is also the host of Chai Time Data Science Podcast where he interviews top practitioners, researchers, and Kagglers. The podcast has been streamed for 40k hours across 110+ countries for 120k+ timesIn this interview I speak with Sanyam about how he was able to build his Chai Time Data Science podcast. I also get his insight into kaggle, how to reach out to influential people, and his plans for the future.

Video Version: https://youtu.be/-OSWCeo18vs Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews two amazing Data Scientists who've quite literally authored a book on Building a Career in Data Science: Jacqueline Nolis and Emily Robinson. Both of the amazing heroes on this episode have worked across different industries, and have written amazing blog posts. They've also written a book quite literally on the topic of building a career in data science. It covers topics that aren't usually discussed almost anywhere, have the soft skills side of things and things you learn in your jobs over the years. Links: https://www.manning.com/books/build-your-career-in-data-science?a_aid=buildcareer&a_bid=76784b6a http://podcast.bestbook.cool Follow: Jacqueline Nolis: http://twitter.com/skyetetra Emily Robinson: https://twitter.com/robinson_es https://www.linkedin.com/in/robinsones/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/wxVGu8vKvG8 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews the authors of the book "Building ML Pipelines": Catherine Nelson and Hannes Hapke Catherine is a data scientist at SAP concur labs. And Hannes is an ML Engineer in the same company. They talk about the journey into machine learning and the journey into this world of building machine learning pipelines, they dive into depth about the book, covering: - Who's the book really for? - What does it cover? - What can you expect out of it? Links: https://www.buildingmlpipelines.com Follow: Catherine Nelson: https://twitter.com/drcatnelson Hannes Hapke: https://twitter.com/hanneshapke hanneshapke.github.io Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/nShflQj5RXY Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews a Content Creator, Educator, Data Scientist and Kaggler: Jeff Heaton Jeff is currently VP at RGA, and an amazing content creator on YouTube, he puts out videos almost every week in the realm of machine learning, broadly speaking. He's also an adjunct professor at Washington University, they talk about his journey, into machine learning, data science kaggle, content creation, how he got started across all of these different things. Follow: Jeff Heaton: https://twitter.com/jeffheaton https://github.com/jeffheaton Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Join Dr Tim Scarfe, Sayak Paul, Yannic Kilcher, and Alex Stenlake have a conversation with Mr. Chai Time Data Science; Sanyam Bhutani! 00:00:00 Introduction 00:03:42 Show kick off 00:06:34 How did Sanyam get started into ML 00:07:46 Being a content creator 00:09:01 Can you be self taught without a formal education in ML? 00:22:54 Kaggle 00:33:41 H20 product / job 00:40:58 Intepretability / bias / engineering skills 00:43:22 Get that first job in DS 00:46:29 AWS ML Ops architecture / ml engineering 01:14:19 Patterns 01:18:09 Testability 01:20:54 Adversarial examples Sanyam's blog -- https://sanyambhutani.com/tag/chaitimedatascience/ Chai Time Data Science -- https://www.youtube.com/c/ChaiTimeDataScience

Video Version: https://youtu.be/UmEFK4RinUU Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Data Scientist, Content Creator: @Ken Jee They talk about his journey into Data Science, Creating content and Sports Analytics. They discuss what Ken has learned via creating content and how does his experience tie in together with everything he has been doing. Follow: Ken Jee: http://twitter.com/kenjee_ds https://kennethjee.com https://www.linkedin.com/in/kenjee/ https://www.youtube.com/channel/UCiT9RITQ9PW6BhXK0y2jaeg Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/NRl3lMlixPc Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews two Kaggle legends: Philipp Singer and Christof Henkel about their team's Winning Solution to the Google Landmark Recognition 2020 Kaggle competition. This interview is a continued conversation with both of the legends, please find the older interviews to know more about their journey and watch this one for their winning solution and Christof's wisdom :D Links: Winning Writeup: https://www.kaggle.com/c/landmark-recognition-2020/discussion/187821 Github Link: https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place Paper Link: https://arxiv.org/abs/2010.01650 Prev Interviews: Psi: NFL Data Bowl Win Sol: https://www.youtube.com/watch?v=_Srv0bKmfjY IEEE-CIS Comp 6th Pos Sol: https://www.youtube.com/watch?v=7sh5QrUIAHI Jigsaw & Tweet Sentiment: https://youtu.be/_X6wl0CX8xA Christof Henkel: Google Quest Q&A Labelling Comp 2nd Pos Sol: https://www.youtube.com/watch?v=Q0_Xajic_9U Follow: Philipp Singer: https://twitter.com/ph_singer https://www.kaggle.com/philippsinger Christof Henkel: https://twitter.com/kagglingdieter https://www.kaggle.com/christofhenkel Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/I7376Wl8JQ4 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews the Chief Data Scientist at Mor consulting and an author of High Performance Python with O'Reilly: Ian Ozsvald. They talk all about his rich experience in Python and in data science, broadly speaking. Ian shares a lot of insights that he's picked up along his journey while working on so many rich projects, so many projects across different consulting tasks, different consulting missions that he's taken up. They also touch upon his book: who should pick read the book, and what will they get out of it. Ian also broadly shares many amazing advices that he has learned over over all of these years. Links: https://www.oreilly.com/library/view/high-performance-python/9781492055013/ Follow: Ian Ozsvald: https://twitter.com/ianozsvald https://www.linkedin.com/in/ianozsvald/ https://ianozsvald.com https://morconsulting.com Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/CaoQLrSBk0o Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani This episode, which is an excerpt from Sanyam Bhutani's complete interview with Tim Dettmers In this small excerpt, they discuss the RTX 3000 FAQs: - Should you buy these? - Which ones should you buy? - How can you make two of these work together? - Are they slower than the expected Quadro Cards? Links: https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/ Follow: Tim Dettmers: https://twitter.com/tim_dettmers https://timdettmers.com Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/XoHYqL_LlWs Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Kaggle Master and Sr. Software Engineer: Kun Hao Yeh. They Talk about their team's 14th pos gold solution to the SIIM ISIC Melanoma Classification Comp. They also discuss Kun Hao's journey from taking one of the courses by Marios to teaming up with him along with many Kaggle Tips & Tricks Links: Wining Sol: https://www.kaggle.com/c/siim-isic-melanoma-classification/discussion/175403 Interview with Marios: https://www.youtube.com/watch?v=A3GvuHqGGZI Follow: Kun Hao Yeh: https://www.linkedin.com/in/michaelkhyeh/ https://www.kaggle.com/khyeh0719 Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd #Fastai #Learning #PyTorch

Sanyam Bhutani is a Machine Learning Engineer at http://h2o.ai (H2O.ai) and host of the Chai Time Data Science Show. Learn more about Sanyam: Website: https://sanyambhutani.com/ (https://sanyambhutani.com/) YouTube: https://www.youtube.com/c/ChaiTimeDataScience (https://www.youtube.com/c/ChaiTimeDataScience) Chai Time Data Science: https://chaitimedatascience.com/ (https://chaitimedatascience.com/) Want to level-up your skills in machine learning and software engineering? Join the ML Engineered Newsletter: https://mlengineered.ck.page/943aa3fd46 (https://mlengineered.ck.page/943aa3fd46) Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ (https://www.givingwhatwecan.org/) Subscribe to ML Engineered: https://mlengineered.com/listen (https://mlengineered.com/listen) Follow Charlie on Twitter: https://twitter.com/CharlieYouAI (https://twitter.com/CharlieYouAI) Timestamps: (03:00) How Sanyam got started in CS and ML (16:20) Getting a CV internship after freshman year (20:30) Having a vision of using AI to help the masses of India (23:25) FastAI international fellowship (27:40) Interviews with Machine Learning Heroes (36:50) Frustration while training ML models (43:35) Interviewing Jeremy Howard (46:00) Creating ML content that resonates (01:01:00) Working at http://h2o.ai (h2o.ai) and making an ML course (01:11:00) Exciting opportunities in the field now (01:21:20) Rapid fire questions (01:26:35) Outro Links: https://sanyambhutani.com/interviews-with-machine-learning-heroes/ (Interviews with Machine Learning Heroes) https://sanyambhutani.com/interview-with-jeremy-howard/ (Sanyam's Interview with Jeremy Howard) https://www.fast.ai/ (FastAI) https://www.coursera.org/learn/machine-learning (Andrew Ng ML Course) https://www.oreilly.com/library/view/high-performance-python/9781449361747/ (High Performance Python) https://markmanson.net/not-giving-a-fuck (The Subtle Art of Not Giving a Fuck) https://training.h2o.ai/ (H2O.ai Online Courses)

Video Version: https://youtu.be/ZrXaY3tdXuc Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews two of his mentors, peers from fast.ai, DL Engineers at Mercado Libre: Jose Fernandez Portal and Francisco Ingham. This episode is a lot about making a transition into the field: Learning via fast.ai, and how to foster a community similar to fast.ai in your local region, the importance of this, Jose and Francisco both have taken the course have shared a similar journey and share a lot of interesting advices along these lines on how you should approach the material, make the most out of it. How should you plan your time around it, and how should you find the projects to pursue. Links: Combining Tabular data & speech: https://forums.fast.ai/t/share-your-work-here/27676/526 SGD Animator: https://forums.fast.ai/t/share-your-work-here/27676/300 Learning AI: My Journey by Francisco: https://medium.com/@fpingham/learning-ai-my-journey-d99f47ba79f Follow: Jose Fernandez Portal: https://twitter.com/joshfp https://www.linkedin.com/in/josefp/ Francisco Ingham: https://twitter.com/fpingham https://medium.com/@fpingham Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/UVZm2gEZhtA Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews two amazing Kagglers, Kaggle Masters: "DrHB" & "CatEek": Habib Bukhari & Igor Zubarev. They discuss their team's second position in the PANDA competition, The competition stands for Prostate cANcer graDe Assessment. Their team, "Save the prostate" ranked second in the private leaderboard, they discuss about the journey into machine learning and kaggle. They connect the dots of how both of them got interested in ML and in kaggle, How did they get addicted to the platform. They discuss about their approach to competitions, the teaming up approach, and their solution overview. Links: https://www.kaggle.com/c/prostate-cancer-grade-assessment https://www.kaggle.com/c/prostate-cancer-grade-assessment/discussion/169108 Follow: Habib Bukhari: https://twitter.com/dr_hb_ai https://www.kaggle.com/drhabib Igor Zubarev: https://www.kaggle.com/cateek Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/dIejo08k9mI Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Research Engineer at FAIR: Marie-Anne Lachaux. They discuss the joint work shared by Marie-Anne, "Unsupervised translation of programming languages" If you're unaware: it's an amazing, mind-blowing work demonstrating how to translate code from one language to another. They. dive into her research and her journey into the field along with how research projects are approached at FAIR Labs. Links: Unsupervised Translation of Programming Languages: https://arxiv.org/abs/2006.03511 Follow: Marie-Anne Lachaux: https://twitter.com/malachaux https://www.linkedin.com/in/marieannelachaux/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/fOEG6EpAsLI Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews the Head of Growth at Weights & Biases: Lavanya Shukla Lavanya Shukla has a very interesting journey into machine learning and programming, they talk all about how she started programming at the age of 10 built amazing websites through a dial up connection in India, and over the years improved her skills, eventually joining a computer science degree programme and dropping out of it and then finding her passion for machine learning. They also talk a lot about general advices on how should you progress in your programming and machine learning journey. Links: Weights and Biases: https://www.wandb.com Follow: Lavanya Shukla: https://twitter.com/lavanyaai https://lavanya.ai/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd