Browse Lessons

Scaling ML in the Traditional Enterprise

Machine Learning is Going Real-Time

SurveyMonkey's ML Platform Journey

Team Teardown: Evolving an ML Platform at SurveyMonkey

Removing Unfair Bias in the Machine Learning Pipeline

Build, Buy and the Golden Ratio: How Theator scaled up its continuous training framework

ClearML: Your R&D on MLOps! From zero to hero in two lines of code

How Feature Stores Enable Operational ML

Deploying a Fraud Detection Model with a Feature Store

Making Models Work: How an optimized ML lifecycle can drive better ROI

End-to-End ML with Cloudera Machine Learning

AI Operationalization: Where the AI Rubber Hits the Road for the Enterprise

One Flow to Rule Them All: Building the end to end ML project to production in Dataiku DSS

Understanding Collective Insect Communication with ML, w/ Orit Peleg - 590

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

End-to-End ML with Dataiku DSS

From Zero to Hero in Two Lines of Code with ClearML

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

Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589

Model Quantization for Edge Devices with AIMET

Synthetic Data Generation for Robotics with Bill Vass - #588

Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587

Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586

The Evolution of Machine Learning Platforms at Facebook (Webcast)

Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585

Equivariant Priors for Compressed Sensing with Arash Behboodi - #584

Managing Data Labeling Ops for Success with Audrey Smith - #583

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

Innovation at the Edge and in the Metaverse with Ziad Asghar

On The Path Towards Robot Vision with Aljosa Osep - #581

Data-Centric AI: Why This Trend Is Here To Stay (Panel)

More Language, Less Labeling with Kate Saenko - #580

Optical Flow Estimation, Panoptic Segmentation, and Vision Transformers with Fatih Porikli - #579

Data Governance for Data Science with Adam Wood - #578

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

Data Debt in Machine Learning with D. Sculley - #574

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

Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572

Studying Machine Intelligence with Been Kim - #571

Advances in Neural Compression with Auke Wiggers - #570

Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569

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

Hierarchical and Continual RL with Doina Precup - #567