Seth Levine

Learning from Machine Learning

Technology EN ↓ 14 episodes

A machine learning podcast that explores more than just algorithms and data: Life lessons from the experts. Welcome to "Learning from Machine Learning," a podcast about the insights gained from a career in the field of Machine Learning and Data Science. In each episode, industry experts, entrepreneurs and practitioners will share their experiences and advice on what it takes to succeed in this rapidly-evolving field. But this podcast is not just about the technical aspects of ML. It will also delve into the ways machine learning is changing the world around us. From the implications of artific...

Author

Seth Levine

Episodes

Dan Bricklin: Lessons from Building the First Killer App | Learning from Machine Learning #14 17.10.2025 1:13:02

On this episode of Learning from Machine Learning, I had the pleasure of speaking with Dan Bricklin, co-creator of VisiCalc - the first electronic spreadsheet and the killer app that launched the personal computer revolution. We explored what five decades of platform shifts teach us about today's AI moment. Dan's framework is simple but powerful: breakthrough innovations must be 100 times better,...

Lukas Biewald | You think you're late, but you're early | Learning from Machine Learning #13 01.07.2025 1:04:39

On this episode of Learning from Machine Learning, I had the privilege of speaking with Lukas Biewald, co-founder and CEO of Weights & Biases. We traced his journey from programming games as a kid to building one of the most essential tools in AI development today. Lukas's career demonstrates that conviction often matters more than consensus—from surviving the AI winter in the mid-2000s when h...

Maxime Labonne: Designing beyond Transformers | Learning from Machine Learning #12 28.05.2025 1:03:34

On this episode of Learning from Machine Learning , I had the privilege of speaking with Maxime Labonne, Head of Post-Training at Liquid AI. We traced his journey from cybersecurity to the cutting edge of model architecture. Maxime shared how the future of AI isn't just about making models bigger—it's about making them smarter and more efficient. Maxime's work demonstrates that challenging establi...

Aman Khan: Arize, Evaluating AI, Designing for Non-Determinism | Learning from Machine Learning #11 29.04.2025 1:07:11

On this episode of Learning from Machine Learning, I had the privilege of speaking with Aman Khan, Head of Product at Arize AI. Aman shared how evaluating AI systems isn't just a step in the process—it's a machine learning challenge in of itself. Drawing powerful analogies between mechanical engineering and AI, he explained, "Instead of tolerances in manufacturing, you're designing for non-determi...

Leland McInnes: UMAP, HDBSCAN & the Geometry of Data | Learning from Machine Learning #10 25.10.2024 55:27

In this episode of Learning from Machine Learning, we explore the intersection of pure mathematics and modern data science with Leland McInnes, the mind behind an ecosystem of tools for unsupervised learning including UMAP, HDBSCAN, PyNN Descent and DataMapPlot. As a researcher at the Tutte Institute for Mathematics and Computing, Leland has fundamentally shaped how we approach and understand comp...

Chris Van Pelt: Machine Learning Tooling, Weights and Biases, Entrepreneurship | Learning from Machine Learning #9 01.03.2024 1:05:06

In this episode, we are joined by Chris Van Pelt, co-founder of Weights & Biases and Figure Eight/CrowdFlower. Chris has played a pivotal role in the development of MLOps platforms and has dedicated the last two decades to refining ML workflows and making machine learning more accessible. Throughout the conversation, Chris provides valuable insights into the current state of the industry. He e...

Michelle Gill: AI-Assisted Drug Discovery, NVIDIA, Biofoundation Models, Creating Applied Research Teams | Learning from Machine Learning #8 11.01.2024 1:05:49

This episode features Dr. Michelle Gill, Tech Lead and Applied Research Manager at NVIDIA, working on transformative projects like BioNemo to accelerate drug discovery through AI. Her team explores Biofoundation models to enable researchers to better perform tasks like protein folding and small molecule binding. Michelle shares her incredible journey from wet lab biochemist to driving cutting edge...

Ines Montani: Explosion, NLP, Generative AI, Entrepreneurship | Learning from Machine Learning #7 26.10.2023 1:23:11

This episode features co-founder and CEO of Explosion, Ines Montani. Listen in as we discuss the evolution of the web and machine learning, the development of SpaCy, Natural Language Processing vs. Natural Language Understanding, the misconceptions of starting a software company, and so much more! Ines is a software developer working on Artificial Intelligence and Natural Language Processing techn...

Lewis Tunstall: Hugging Face, SetFit and Reinforcement Learning | Learning from Machine Learning #6 03.10.2023 1:18:43

This episode features Lewis Tunstall, machine learning engineer at Hugging Face and author of the best selling book Natural Language Processing with Transformers. He currently focuses on one of the hottest topic in NLP right now reinforcement learning from human feedback (RLHF). Lewis holds a PhD in quantum physics and his research has taken him around the world and into some of the most impactful...

Paige Bailey: Google Deepmind, LLMs, Power of ML to improve code | Learning from Machine Learning #5 19.05.2023 1:08:01

The episode features Paige Bailey, the lead product manager for generative models at Google DeepMind. Paige's work has helped transform the way that people work and design software using the power of machine learning. Her current work is pushing the boundaries of innovation with Bard and the soon to be released Gemini. Resources to learn more about Paige Bailey https://twitter.com/DynamicWebPaige...

Sebastian Raschka: Learning ML, Responsible AI, AGI | Learning from Machine Learning #4 26.03.2023 1:07:58

This episode we welcome Sebastian Raschka, Lead AI Educator at Lightning and author of Machine Learning with Pytorch and Scikit-Learn to discuss the best ways to learn machine learning, his open source work, how to use chatGPT, AGI, responsible AI and so much more. Sebastian is a fountain of knowledge and it was a pleasure to get his insights on this fast moving industry. Learning from Machine Lea...

Nils Reimers: Sentence Transformers, Search, Future of NLP | Learning from Machine Learning #3 24.02.2023 1:02:03

This episode welcomes Nils Reimers, Director of Machine Learning at Cohere and former research at Hugging Face, to discuss Natural Language Processing, Sentence Transformers and the future of Machine Learning. Nils is best known as the creator of Sentence Transformers, a powerful framework for generating high-quality sentence embeddings that has become increasingly popular in the ML community with...

Vincent Warmerdam: Calmcode, Explosion, Data Science | Learning From Machine Learning #2 31.01.2023 1:08:32

Learning from Machine Learning, a podcast that explores more than just algorithms and data: Life lessons from the experts. This episode we welcome Vincent Warmerdam, creator of calmcode, and machine learning engineer at SpaCy to discuss Data Science, models and much more. @learningfrommachinelearning Resources to learn more about Vincent Warmerdam: https://calmcode.io/ https://youtu.be/kYMfE9u-lMo...

Maarten Grootendorst: BERTopic, Data Science, Psychology | Learning from Machine Learning #1 09.01.2023 1:08:00

The inaugural episode of Learning from Machine Learning, a podcast that explores more than just algorithms and data: Life lessons from the experts. This episode we welcome Maarten Grootendorst to discuss BERTopic, Data Science, Psychology and the future of Machine Learning and Natural Language Processing. Towards Data Science Article featuring this interview Resources to learn more about Maarten G...