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It was great to chat with my friend, Harpreet Sahota, Developer Advocate at Voxel51 on The Ravit Show at YOLO Vision 2024 by Ultralytics. We had a deep discussion about his latest work and insights into AI and data science. It was an insightful conversation packed with valuable takeaways. Stay tuned for more interviews from Ultralytics YOLO VISION 2024! #data #ai #yolo2024 #YV24 #theravitshow
Learn all about how a Hacker in Residence uses data to solve the world's problems, one model at a time. The hard truth about our wonderful world of data, nobody understands what deep learning is or how it works! In this episode, Harpreet shares with us what he does at Voxel51 as a Hacker in Residence along with some great tips about the deep end of artificial intelligence. Highlights
Our guest today is Harpreet Sahota, Deep Learning Developer Relations Manager at Deci AI. In our conversation, we first talk about Harpreet's work as a Biostatistician and dive into A/B testing. We then talk about Deci AI and Neural Architecture Search (NAS): the algorithm used to build powerful deep learning models like YOLO-NAS. We finally dive into GenAI where Harpreet shares 7 prompting tips and explains how Retrieval Augmented Generation (RAG) works. If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.Link to Train in Data courses (use the code AISTORIES to get a 10% discount): https://www.trainindata.com/courses?affcode=1218302_5n7krabaFollow Harpreet on LinkedIn: https://www.linkedin.com/in/harpreetsahota204/Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/ ---(00:00) - Intro(02:34) - Harpreet's Journey into Data Science(07:00) - A/B Testing (17:50) - DevRel at Deci AI(26:25) - Deci AI: Products and Services(32:22) - Neural Architecture Search (NAS)(36:58) - GenAI(39:53) - Tools for Playing with LLMs(42:56) - Mastering Prompt Engineering(46:35) - Retrieval Augmented Generation (RAG)(54:12) - Career Advice
Harpreet Sahota, a data science expert and deep learning developer at Deci AI, joins Jon Krohn to explore the fascinating realm of object detection and the revolutionary YOLO-NAS model architecture. Discover how machine vision models have evolved and the techniques driving compute-efficient edge device applications. This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au), by https://WithFeeling.ai, the company bringing humanity into AI, and by Modelbit (https://modelbit.com), for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • What is machine vision? [07:02] • Object detection and YOLO architectures [13:00] • Deci's YOLO-NAS: Optimal object detection model architecture [23:39] • Developer Relations [1:00:16] • Harpreet's 'top-down' approach to learning Deep Learning [1:06:50] Additional materials: www.superdatascience.com/693
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Who is Daliana? This is a conversation I had in 2021 with Harpreet Sahota. I talked about my unexpected journey to data science all the way back in high school, things I wish I could know earlier about my career, the projects I worked on, what is like to be a quote-and-unquote influencer on Linkedin, and more. If you want more content from me, I write about data science and career nerdy jokes, on my Linkedin and you can subscribe to my very infrequent newsletter at dalianaliu.com. I'm curious what you think about this episode, leave a comment on YouTube or send a DM on Linkedin. Hope you enjoy the Daliana special! Daliana's Newsletter: https://dalianaliu.com Daliana's Twitter: https://twitter.com/DalianaLiu Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/ Harpreet's LinkedIn: https://www.linkedin.com/in/harpreetsahota204/ The artist of the data science podcast: https://theartistsofdatascience.fireside.fm/ (00:00:00) Introduction (00:02:52) Where did Daliana grow up (00:05:19) Daliana in highschool (00:07:11) How did she got into data science (00:11:36) Why is writing important for data scientist (00:15:51) How to write better (00:20:56) Career lessons you didn't learn in school (00:27:40) Imposter syndrome (00:31:29) Day-to-day work as a data scientist (00:36:16) Most common mistakes data scientists make (00:39:41) Data Analyst vs. Data Scientist (00:42:30) What is the science in data science? (00:44:51) Can everyone be a data scientist (00:49:21) Linkedin profile tips for job search (00:52:59) How she creates content (00:54:11) Being a data scientist "influencer" (00:56:04) Why she started "the data scientist show" (01:01:16) Women in data science (01:06:39) What's her legacy (01:09:43) What is she reading (01:14:21) Connect with Daliana
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Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=CDBrPdh4Jw&abchannel=HarpreetSahota%7CTheArtistsofDataScience Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
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Support the show: https://www.buymeacoffee.com/datascienceharp Find Jeremy online: https://www.linkedin.com/in/rjeremyadamson Watch the video of this episode: https://www.youtube.com/watch?v=UglmEtCRQE&abchannel=HarpreetSahota%7CTheArtistsofDataScience Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=qHjKd4van4o Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Find Nick online: https://www.nicksingh.com/ Watch the video of this episode: https://youtu.be/7fzOYBkTHDM Memorable Quotes from the show: [00:12:47] "The part of math that I was interested in wasn't that crazy, crazy theoretical math. It was just like, Oh, how can we use data to drive better decisions? Like how can simple statistics and computing metrics and just keeping track of shit using numbers? How can that help build better products or build better systems? And that's what I learned in systems engineering. Combine that with some of my CS classes, which got me into a little bit more machine learning, and then it started clicking in my head of like, Oh, this data thing is really cool." Hightlights of the show: [00:00:40] Guest Introduction [00:03:26] Talk to us a little bit about where you grew up and what it was like there. [00:07:57] What is it about us (of Indian heritage) and software and data science? [00:09:11] Was there something you were always good at? Did you think you were ever going to be an author? [00:11:03] Was data science something that you were exposed to when you're young? [00:13:57] What is the business side of data? Please paint that picture for us. [00:19:22] Is it better to have blank space on a resume than neutral information? [00:23:34] LTalk to us about what this philosophy is for projects. [00:31:57] How do we demonstrate business value with a project, especially if we don't have on the job experience and are doing a project to demonstrate our technical ability? [00:39:20] You talk about cold emailing in your book. Is that just when someone messages somebody highly ranked on LinkedIn and leave it at that? [00:40:50] Let's say somebody sees this awesome job on LinkedIn and then started looking for people in that company. Should they go and message an individual contributor, data scientist and have them look at their profile or send a message to the CEO? Like who on the spectrum do they reach out to? [00:46:03] It is noticed that a lot of people that are new to the industry are new data scientists who are all up in their head thinking oh, man, like math and everything, thinking all about algorithms and their sleep. They think that these behavioral interview questions are just fluffy bullshit. Why do you think folks have this misconception? [00:50:10] You talk about a framework in the book at a high level. Can you share a bit of that framework for how you would answer that question (where the star format doesn't apply)? [00:52:34] Would you rather mention your knity gritty experiences from the past in an interview or do mention a little of a role that you played in math or astrophysics. Say that you're trying to get into a machine learning engineer role, can you share your response to that question with us here? [00:55:12] Auditing the "tell me about yourself" question. [01:04:50] What does product sense mean? What is it? Why are people afraid of it? Why does it seem like such a difficult skill? [01:11:35] What's the number one product sense question that you see being asked? [01:14:36] It is it's 100 years in the future. What do you want to be remembered for? Random Round [01:16:18] What do most people think? Within the first few seconds of meeting you for the first time. [01:16:47] You have this awesome blog post about books that you always bring up in conversations. One of them is written by probably my absolute favorite authors and one of my favorite books. That's Antifragile by Nassim Taleb. Talk to us about the three main takeaways you've gotten from that book. [01:21:19] What are you currently reading? [01:24:23] First question what makes you cry? [01:24:41] If you were a vegetable, what vegetable would you be? [01:24:50] What have you created that you're most proud of? [01:25:33] What's the best piece of advice you have ever received? [01:26:54] If you lost all of your possessions but one, what would you want it to be? [01:27:29] Do you ever sing When You're Alone? [01:27:52] What's your favorite candy? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=eYfHD1CkvRI Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Find David online: https://twitter.com/d_spiegel Read David's article "Will I live longer than my cat?": https://www.bbc.co.uk/news/magazine-19467491 Watch the video of this episode: https://youtu.be/pCWH97vBFmU Memorable Quotes from the show: [00:23:36] "...essentially what probability theory allows us to do is to make assumptions about how the world works, how the data is generated, and turn it and flip it around after we observe some data into statements about our uncertainty about underlying features of the world. We can do that, which of course is very explicit based on work indeed, where after processing data or uncertainty and it turns into uncertainty about the underlying quantities." Hightlights of the show: [00:01:29] Guest Introduction [00:03:08] Talk to us about how you first got interested in statistics and what was it that drew you to this field? [00:04:55] Why is it that it seems like mathematicians tend to dislike teaching statistics? [00:08:27] What is statistical science and what is it all about? [00:09:46] You talk about in your book, The Art of Statistics, how to handle problems and approach problems in statistics. You call the P, p, b, a C cycle. Tell us about that framework. [00:15:03] You mentioned in the book that statistics is to blame for the reproducibility and replication crises in science. Why? Why is that? [00:18:23] When we talk about induction and inductive inference, should the philosopher in us get worried at all about the problem of induction in statistics? [00:19:40] Tell our audience about the 'normal distribution'. [00:20:34] Do you have any examples of when inductive inference has failed in statistics that you could share with us? [00:22:15] Why do we need probability theory when we're doing statistics? [00:26:25] I think pouring into the Bayesian stuff is kind of taking a step back here, maybe first principles. But what is probability? How do we measure it? It seems like such a strange epistemological concept. [00:28:27] Can we say there's a at least some type of difference between epistemic probability and some physical or I believe you say aleatory? [00:30:03] Would there be a difference in the way that a philosopher or a statistician would interpret probability? [00:38:32] What's the Bayesian approach all about and why is it that courts in the UK are banning it or have banned it? [00:40:16] How is this (Bayesian approach) different from the frequentist approach to viewing probability? What's the central difference? [00:44:55] It seems like the prior distribution is something that makes base them so controversial. Why is that? [00:46:18] It seems like Bayes Theorem is the scientifically correct way to change your mind when you get new evidence, right? [00:48:18] David Deutsch mentioned lately about the Bayesian-ism, and he's having some qualms with Bayesian ism. He says that Bayesian-ism becomes controversial when you try to use it as a way to generate new ideas or judge one explanation against another. How do we reconcile that when we're faced with some epistemic. [00:49:51] About using it to help us in our everyday lives to make better decisions. How can we use Bayes in that context? [00:53:15] It is 100 years in the future. What do you want to be remembered for? Random Round [00:54:17] What do you believe that other people think is crazy? [00:55:02] What are you most curious about right now? [00:55:55] What are you currently reading? [00:58:33] What do you like most about your family? [00:58:53] What was your best birthday? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=I6uLiz4lTrU&ab_channel=HarpreetSahota%7CTheArtistsofDataScience Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/x26n7HmSYjw Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=SYiQ1ncCGv8&ab_channel=HarpreetSahota%7CTheArtistsofDataScience Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/efIBVILq6WI Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=30uugRuW5E&abchannel=HarpreetSahota%7CTheArtistsofDataScience Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/VgQ_Hhq4AlM -- Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/LR81rcjuaFk Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/pCHubISFBTI Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=32znIxJoFRo Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Find Christina online: https://www.linkedin.com/in/christinastathopoulos Watch the video of this episode: https://youtu.be/FCQZfuhV6vY Highlights of the Show: [00:01:32] Guest Introduction [00:03:24] Where did you grow up and what was it like there? [00:04:18] You spent a decade abroad in Spain. How did that happen? [00:06:28] How did you transition into analytics? [00:08:31] How did you learn another language as an adult? Was that challenging? How did you figure that out? [00:13:48] You and Kate are quite busy. How do you balance all of these activities, all of these speaking engagements and teaching, plus having a full time job? [00:18:17] How did you develop this reading habit and how are you getting all these books? Are you getting them delivered to you or do you have a book exchange thing? How's this working? [00:20:35] Do you do audiobooks or just strictly so? [00:21:50] How can someone who's new to this space (analytics) decide which direction is right for them? And how did you figure out what direction you wanted to go into? [00:24:53] What are some soft skills that you think have helped you really excel in your career? [00:29:16] Russell defined your multilingual skills with spoken and written language. Do you find that they help you when translating between different coding languages? [00:31:08] How can we simplify complex tasks? [00:32:59] When you put yourself into their shoes, is there some kind of universal thing that most CEOs tend to care about or universal points that you've noticed through all these interactions that you've had, if such a thing could exist? [00:38:18] How did you overcome technological challenges? If you face that challenge at all. What I'm trying to ask is learning new things as they come up in your career. How do you handle that? How do you manage that? [00:42:51] Is there anything that you feel like you're just a natural at? [00:43:31] In terms of the new methodologies and new technology that is coming out, is it mostly the academic research stuff? Is the cutting edge deep learning stuff? What do you find more fascinating? [00:46:20] "How do you practice being present during tough times and tie back to your purpose with the work you do?" [00:49:39] If you had any words of advice or encouragement for the women who are breaking into or that are currently in our world of data science? [00:52:43] What can we do to foster inclusion of women in data science? [00:57:04] It is 100 years in the future. What do you want to be remembered for? Random Round [00:57:54] You've done a lot of traveling 50 countries. What's the most beautiful place you've ever seen? [01:02:39] What song do you have on repeat? [01:05:19] What incredibly strong opinion do you have that is completely unimportant in the grand scheme of things? [01:06:01] What was your best birthday? [01:06:10] Do you have any nicknames? [01:06:24] What's your worst habit? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/6wNvlO8Jj7o Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Find Natalie online: https://www.figure8thinking.com/about/ Watch the video of this episode: https://youtu.be/3Dr7OcyQj1M Highlights of the show: [00:01:32] Guest Introduction [00:03:34] Where did you grow up and what was it like there? [00:08:04] Talk to us about the idea of “indoctrination to education”. [00:12:35] Your interesting ‘creativity research', when did that start? How did your interest in that get sparked? [00:18:24] How can we make creativity more accessible and not just something that feels like it's in the domain of artsy people? [00:23:15] What is your definition of creativity? [00:27:27] Discuss the aspect of wonder and rigour. [00:29:09] What's wrong with the way that we're currently asking questions? [00:38:17] Walk us through what design thinking is and how does that help us be more creative? [00:40:58] What is divergent and convergent thinking? [00:50:47] Talk to us about the remix, the reframe and repurpose. How they help play a role in being creative? [00:53:04] Talk to us about 'Fashion thinking'. [00:56:20] It is 100 years in the future. What could it be remembered for? Random Round [00:57:13] What are you currently reading? [00:57:37] What song do you currently have on repeat? [00:58:22] What's the best thing you got from one of your parents? [00:58:31] In your group of friends, what role do you play? [00:58:41] What fictional place would you most like to go to? [00:59:02] Pizza or tacos? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/7l-pB7RkCJA Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Find Andrew online: https://www.linkedin.com/in/andrew-jones-data-science-infinity Watch the video of this episode: https://youtu.be/hiEEAIGP8Zo Memorable Quotes from the Show: [00:20:55] “You need somebody in there to be putting the nuance on that to make it actually work. I think for me as well, like Auto, where ML doesn't have any business sense necessarily, so it doesn't know what problems to solve or it doesn't know why it should solve them. So I think humans are still a huge part of that. I don't think that's going away anywhere soon. It's just an evolution and data scientists are going to start, you know, there's going to be bits where automation comes in and helps us do our jobs even better. But I don't think it's going to take away jobs necessarily. I don't have any particular fear about that.” Highlights of the Show: [00:01:18] Guest Introduction [00:03:20] Where did you grow up and what was it like there? [00:06:19] When you were in high school, what did you think your future would look like? [00:07:12] At six foot seven. It's a shame that you did not get into basketball. Is that right? [00:07:48] Did you start doing analytics in New Zealand or start in London? Walk us through that journey. [00:10:39] What's the toughest part about transitioning from SAS into python? [00:16:25] You've been in this field for over a decade. How far has it come since you first broke into it? [00:19:13] Can you share a hot take with us on where you think the field of data science is headed? [00:33:29] Talk about your mission to help develop data scientists. [00:39:28] What makes an employable data scientist different from an unemployable one? [00:42:07] Where do you think most data scientists go wrong in terms of their own career development? [00:45:07] “How to choose the right model to train the data?” [00:49:06 Is there a field within machine learning that focuses on incorporating human concerns through technology development? [00:51:58] “What advice do you give social scientists that are learning data analytics? Any particular hints for psychologists trying to understand acceptable norms of behavior when creating data science projects?” [00:54:04] Talks to us about the top five reasons that candidates get rejected. [00:58:13] When it comes to career growth and development. What's the biggest lesson you learned the hard way that you want to make sure no one else makes? [00:59:49] It's 100 years in the future. What do you want to be remembered? Random Round [01:01:18] What do you think will be the first video to hit 1 trillion views on YouTube? And what will that video be about? [01:03:29] What are you currently reading? [01:05:09] What song do you currently have on repeat? [01:06:30 If you had to change your name, what would you change it to? [01:07:26] What's on your bucket list this year? [01:08:40] What's the story behind one of your scars? [01:09:51] What languages do you speak? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/2kCDJbiTCk8 Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/HP-_FJh8UGY Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp