Podcasts about omoju miller

Hugo speaks with Omoju Miller, a machine learning guru and founder and CEO of Fimio, where she is building 21st century dev tooling. In the past, she was Technical Advisor to the CEO at GitHub, spent time co-leading non-profit investment in Computer Science Education for Google, and served as a volunteer advisor to the Obama administration's White House Presidential Innovation Fellows. We need open tools, open data, provenance, and the ability to build fully reproducible, transparent machine learning workflows. With the advent of closed-source, vendor-based APIs and compute becoming a form of gate-keeping, developer tools are at the risk of becoming commoditized and developers becoming consumers. We'll talk about how ideas for escaping these burgeoning walled gardens. We'll dive into What fully reproducible ML workflows would look like, including git for the workflow build process, The need for loosely coupled and composable tools that embrace a UNIX-like philosophy, What a much more scientific toolchain would look like, What a future open sources commons for Generative AI could look like, What an open compute ecosystem could look like, How to create LLMs and tooling so everyone can use them to build production-ready apps, And much more! LINKS The livestream on YouTube (https://www.youtube.com/live/n81PWNsHSMk?si=pgX2hH5xADATdJMu) Omoju on Twitter (https://twitter.com/omojumiller) Hugo on Twitter (https://twitter.com/hugobowne) Vanishing Gradients on Twitter (https://twitter.com/vanishingdata) Lu.ma Calendar that includes details of Hugo's European Tour for Outerbounds (https://lu.ma/Outerbounds) Blog post that includes details of Hugo's European Tour for Outerbounds (https://outerbounds.com/blog/ob-on-the-road-2024-h1/)

Hugo speaks with Johno Whitaker, a Data Scientist/AI Researcher doing R&D with answer.ai. His current focus is on generative AI, flitting between different modalities. He also likes teaching and making courses, having worked with both Hugging Face and fast.ai in these capacities. Johno recently reminded Hugo how hard everything was 10 years ago: “Want to install TensorFlow? Good luck. Need data? Perhaps try ImageNet. But now you can use big models from Hugging Face with hi-res satellite data and do all of this in a Colab notebook. Or think ecology and vision models… or medicine and multimodal models!” We talk about where we've come from regarding tooling and accessibility for foundation models, ML, and AI, where we are, and where we're going. We'll delve into What the Generative AI mindset is, in terms of using atomic building blocks, and how it evolved from both the data science and ML mindsets; How fast.ai democratized access to deep learning, what successes they had, and what was learned; The moving parts now required to make GenAI and ML as accessible as possible; The importance of focusing on UX and the application in the world of generative AI and foundation models; The skillset and toolkit needed to be an LLM and AI guru; What they're up to at answer.ai to democratize LLMs and foundation models. LINKS The livestream on YouTube (https://youtube.com/live/hxZX6fBi-W8?feature=share) Zindi, the largest professional network for data scientists in Africa (https://zindi.africa/) A new old kind of R&D lab: Announcing Answer.AI (http://www.answer.ai/posts/2023-12-12-launch.html) Why and how I'm shifting focus to LLMs by Johno Whitaker (https://johnowhitaker.dev/dsc/2023-07-01-why-and-how-im-shifting-focus-to-llms.html) Applying AI to Immune Cell Networks by Rachel Thomas (https://www.fast.ai/posts/2024-01-23-cytokines/) Replicate -- a cool place to explore GenAI models, among other things (https://replicate.com/explore) Hands-On Generative AI with Transformers and Diffusion Models (https://www.oreilly.com/library/view/hands-on-generative-ai/9781098149239/) Johno on Twitter (https://twitter.com/johnowhitaker) Hugo on Twitter (https://twitter.com/hugobowne) Vanishing Gradients on Twitter (https://twitter.com/vanishingdata) SciPy 2024 CFP (https://www.scipy2024.scipy.org/#CFP) Escaping Generative AI Walled Gardens with Omoju Miller, a Vanishing Gradients Livestream (https://lu.ma/xonnjqe4)

This bonus episode features conversations from season 5 of the Open||Source||Data podcast. In this episode, you'll hear from Jaya Gupta, Partner at Foundation Capital; Yuliia Tkachova, Co-founder and CEO of Masthead Data; and Omoju Miller, Founder and CEO of Fimio.Sam sat down with each guest to discuss how they are building foundations for trust, inspiration, and reputation as we all race into the AI-centric future.You can listen to the full episodes from Jaya Gupta, Yuliia Tkachova, and Omoju Miller by clicking the links below.-------------------Episode Timestamps:(00:49): Jaya Gupta(01:48): Yuliia Tkachova(03:03): Omoju Miller-------------------Links:Listen to Jaya's episodeListen to Yuliia's episodeListen to Omoju's episode

This episode features an interview with Omoju Miller, Founder and CEO of Fimio, a web3 reputation company. Originally from Lagos, Nigeria, Omoju holds a doctoral degree in Computer Science Education from UC Berkeley. Her expertise in machine learning and computational intelligence led her to companies such as Google and GitHub. Omoju also served as a volunteer advisor to the Obama administration's White House Presidential Innovation Fellows.In this episode, Sam sits down with Omoju to discuss how machine learning can make applications more secure, what the future of the internet looks like, and the fascinating story behind Fimio.-------------------“So my first view is, in this future internet we have people, we also have bots, we have machines, we have code doing things. And bots sounds like such a horrible word now. [...] You need to have a level of trust on what that bot is. Everything from the humans to the machines collaborating in this decentralized world, we need to have some kind of reputation attached to each of those nodes. And the reason why we need that reputation is, as the thing scales, it becomes overwhelming to get value from it. You need something to help you filter, to find what you're looking for. Otherwise, you get stuck in that environment where you're just completely overwhelmed and you don't even know what to do. So I think of what I'm doing as just reputation to make this decentralized future slightly more attainable.” – Omoju Miller-------------------Episode Timestamps:(00:59): Omoju's inspiration for starting Fimio(10:27): The future of smart contracts(28:47): Using mathematics to guarantee the safety of algorithms(34:34): What led Omoju to building a mathematical product(51:27): What open source data means to Omoju(55:38): One question Omoju wishes to be asked(57:47): Omoju's advice for the audience(01:00:08): Backstage takeaways with executive producer, Audra Montenegro-------------------Links:LinkedIn - Connect with OmojuVisit Fimio

Today we’re joined by Omoju Miller, a Sr. machine learning engineer at GitHub. In our conversation, we discuss: Her dissertation, Hiphopathy, A Socio-Curricular Study of Introductory Computer Science,  Her work as an inaugural member of the Github machine learning team Her two presentations at Tensorflow World, “Why is machine learning seeing exponential growth in its communities” and “Automating your developer workflow on GitHub with Tensorflow.” The complete show notes for this episode can be found at twimlai.com/talk/313. 

On the podcast today, we have two more fascinating interviews from Melanie’s time at Deep Learning Indaba! Mark helps host this episode as we speak with Karim Beguir and Muthoni Wanyoike about their company, Instadeep, the wonderful Indaba conference, and the growing AI community in Africa. Instadeep helps large enterprises understand how AI can benefit them. Karim stresses that it is possible to build advanced AI and machine learning programs in Africa because of the growing community of passionate developers and mentors for the new generation. Muthoni tells us about Nairobi Women in Machine Learning and Data Science, a community she is heavily involved with in Nairobi. The group runs workshops and classes for AI developers and encourages volunteers to participate by sharing their knowledge and skills. Karim Beguir Karim Beguir helps companies get a grip on the latest AI advancements and how to implement them. A graduate of France’s Ecole Polytechnique and former Program Fellow at NYU’s Courant Institute, Karim has a passion for teaching and using applied mathematics. This led him to co-found InstaDeep, an AI startup that was nominated at the MWC17 for the Top 20 global startup list made by PCMAG. Karim uses TensorFlow to develop Deep Learning and Reinforcement Learning products. Karim is also the founder of the TensorFlow Tunis Meetup. He regularly organises educational events and workshops to share his experience with the community. Karim is on a mission to democratize AI and make it accessible to a wide audience. Muthoni Wanyoike Muthoni Wanyoike is the team lead at Instadeep in Kenya. She is Passionate about bridging the skills gap in AI in Africa and does this by co-organizing the Nairobi Women in Machine Learning community. The community enables learning, mentorship, networking, and job opportunities for people interested in working in AI. She is experienced in research, data analytics, community and project management, and community growth hacking. Cool things of the week Is there life on other planets? Google Cloud is working with NASA’s Frontier Development Lab to find out blog In this Codelab, you will learn about StarCraft II Learning Environment project and to train your first Deep Reinforcement Learning agent. You will also get familiar some of the concepts and frameworks to get to train a machine learning agent. site A new course to teach people about fairness in ML blog Serverless from the ground up: Building a simple microservice with Cloud Functions (Part 1) blog Superposition Podcast from Deep Learning Indaba with Omoju Miller and Nando de Freitas tweet and video Interview Instadeep site Nairobi Women in Machine Learning and Data Science site Neural Information Processing Systems site Google Launchpad Accelerator site TensorFlow site Google Assistant site Cloud AutoML site Hackathon Lagos site Deep Learning Book book Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization research paper Lessons learned on building a tech community blog Kenya Open Data Initiative site R for Data Science GitHub site and book TWIML Presents Deep Learning Indaba site Question of the week If I want to create a GKE cluster with a specific major kubernetes version (or even just the latest) using the command line tools, how do I do that? GCloud container clusters create site Specifying cluster version site Where can you find us next? Our guests will be at Indaba 2019 in Kenya. Mark will be at KubeCon in December. Melanie will be at SOCML in November.

Last month, at The Deep Learning Indaba, we had the opportunity to sit down with senior data scientist at Github, Omoju Miller, and Principal Scientist at DeepMind and Professor of Computer Science at University of Oxford, Nando de Freitas. We got to talk ‘Turning Points of AI’: where we’ve been, where are we now and what can be envisaged for the future of computer intelligence. Resources: You can find out more about the Deep Learning Indaba here: http://www.deeplearningindaba.com. Follow Omoju’s blog here: http://omojumiller.com. And check out Nando’s online lectures here: https://www.youtube.com/user/ProfNand... And follow all of us on twitter: @superpositionZA, @omojumiller, @NandoDF. Music by Faresa Mpephu. Soundcloud@faresa-mphephu.

Omoju Miller, a Senior Machine Learning Data Scientist with Github, speaks with Hugo about the role of data science in product development at github, what it means to “use computation to build products to solve real-life decision making, practical challenges” and what building data products at github actually looks like. Machine learning has the power to automate so much of the drudgery around data science & software engineering, from automated code review to flagging security vulnerabilities in code, and from recommending repositories to contributors to matching issues with maintainers and contributors and identifying duplicate issues. And just in case that’s not enough, they'll discuss github as a platform for work, not just technical, and, as Omoju has called it, “a collaborative work environment centered around humans.”

In this week's episode, everyone tries to stump Nick Craver. Today's episode also stars Dr. Omoju Miller, data scientist extraordinaire, talking about media representations of developers and how the evil or geeky hacker stereotype hurts us.

In this week's episode, everyone tries to stump Nick Craver. Today's episode also stars Dr. Omoju Miller, data scientist extraordinaire, talking about media representations of developers and how the evil or geeky hacker stereotype hurts us.

PhD Candidate Omoju Miller is a Computer Scientist who is working to unlock the joys of Natural Language Processing as applied to rap lyrics. She is finishing her PhD in Computer Science Education and has big ideas about where the field should go. How should we change Computer Science 101 for the next generation of developers?