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Learning from Machine Learning

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 artificial intelligence to the ways machine learning is being applied in various sectors, a wide range of topics will be covered that are relevant to anyone interested in the intersection of technology and society.All interviews available on YouTube: Learning from Machine Learning Substack: Mindful Machines

14 episodes•0 subscribers•0 Total Listens

Episode Playlist

14 episodes

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

Jan 9, 2023•—

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

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

Mar 1, 2024•—

Learning from Machine Learning

Episode Playlist

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

Vincent Warmerdam: Calmcode, Explosion, Data Science | Learning From Machine Learning #2

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

Sebastian Raschka: Learning ML, Responsible AI, AGI | Learning from Machine Learning #4

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

Lewis Tunstall: Hugging Face, SetFit and Reinforcement Learning | Learning from Machine Learning #6

Ines Montani: Explosion, NLP, Generative AI, Entrepreneurship | Learning from Machine Learning #7

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

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

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

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

Maxime Labonne: Designing beyond Transformers | Learning from Machine Learning #12

Lukas Biewald | You think you're late, but you're early | Learning from Machine Learning #13

Dan Bricklin: Lessons from Building the First Killer App | Learning from Machine Learning #14

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