Beginner Lessons

Managing ML Experiments with Weights & Biases

Experimentation and Optimization with SigOpt

GPU Virtualization and Capacity Management on Kubernetes with Run.ai

Scalable Data Science Workflows with Pachyderm

From Zero to Hero in Two Lines of Code with ClearML

Maintaining Model Lineage with Weights & Biases Model Registry with Weights & Biases

The Evolution of Machine Learning Platforms at Facebook (Webcast)

Engineering A ML-Powered Developer-First Search Engine with Richard Socher - #582

Innovation at the Edge and in the Metaverse with Ziad Asghar

Feature Platforms for Data-Centric AI with Mike Del Balso - #577

The Fallacy of "Ground Truth" with Shayan Mohanty - #576

Principle-centric AI with Adrien Gaidon - #575

AI for Enterprise Decisioning at Scale with Rob Walker - #573

Studying Machine Intelligence with Been Kim - #571

Daring to DAIR: Distributed AI Research with Timnit Gebru - Talk 568

Advancing Hands-On Machine Learning Education with Sebastian Raschka - #565

Big Science and Embodied Learning at Hugging Face 🤗 with Thomas Wolf - #564

Trends in Deep Reinforcement Learning with Kamyar Azizzadenesheli - #560

Differentiable Programming for Oceanography with Patrick Heimbach - #557

Trends in Machine Learning & Deep Learning with Zachary Lipton - #556

Machine Learning for Earthquake Seismology with Karianne Bergen - #554

Trends in NLP with John Bohannon - #550

Trends in Computer Vision with Georgia Gkioxari - #549

Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548

Creating a Data-Driven Culture at ADP with Jack Berkowitz - #543

Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540

Four Key Tools for Robust Enterprise NLP with Yunyao Li - #537

Machine Learning at GSK with Kim Branson - #536

Learning to Ponder: Memory in Deep Neural Networks - #528

Using Brain Imaging to Improve Neural Networks with Alona Fyshe - #513

Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506

Fairness and Robustness in Federated Learning with Virginia Smith - #504

ML Innovation in Healthcare with Suchi Saria - #501

Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500

Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497

AI and Society: Past, Present and Future with Eric Horvitz - #493

Haptic Intelligence with Katherine J. Kuchenbecker - #491

Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489

Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488

Causal Modeling in Machine Learning with Robert Ness 5/27/21

Applied AI Research at AWS with Alex Smola - #487

Causal Models in Practice at Lyft with Sean Taylor - #486

What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger - #483

Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Exploring the Intersection of Unsupervised Learning and Reinforcement Learning - Clips - #476

Reinforcement Learning for Industrial AI with Pieter Abbeel - #476

Human-Centered ML for High-Risk Behaviors with Stevie Chancellor - #472

End to End ML at Cloudera with Santiago Giraldo - #469 [TWIMLcon Sponsor Series]