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

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

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

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

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

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

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

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

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

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

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

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

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