Browse Lessons

AI Storytelling Systems with Mark Riedl - #478

Creating Robust Language Representations with Jamie Macbeth - #477

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

Pre-trained Transformers as Universal Computation Engines - Clips - #476

Reinforcement Learning for Industrial AI with Pieter Abbeel - #476

AutoML for Natural Language Processing with Abhishek Thakur - #475

Theory of Computation with Jelani Nelson - #473

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

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

ML Platforms for Global Scale at Prosus with Paul van der Boor - #468 [TWIMLcon Sponsor Series]

Can Language Models Be Too Big? 🦜with Emily Bender and Margaret Mitchell - #467

Applying RL to Real-World Robotics with Abhishek Gupta - #466

Accelerating Innovation with AI at Scale with David Carmona - #465

Complexity and Intelligence with Melanie Mitchell - #464

Robust Visual Reasoning with Adriana Kovashka - #463

Architectural and Organizational Patterns in Machine Learning with Nishan Subedi - #462

Common Sense Reasoning in NLP with Vered Shwartz - #461

How to Be Human in the Age of AI with Ayanna Howard - #460

Evolution and Intelligence with Penousal Machado - #459

Innovating Neural Machine Translation with Arul Menezes - #458

Building the Product Knowledge Graph at Amazon with Luna Dong - #457

Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456

AI for Digital Health Innovation with Andrew Trister - #455

System Design for Autonomous Vehicles with Drago Anguelov - #454

Building, Adopting, and Maturing LinkedIn’s Machine Learning Platform with Ya Xu - #453

Expressive Deep Learning with Magenta DDSP w/ Jesse Engel - #452

Innovating Neural Machine Translation with Arul Menezes - #458

System Design for Autonomous Vehicles with Drago Anguelov - #454 - Audio Only

Semantic Folding for Natural Language Understanding with Francisco Webber - #451

The Future of Autonomous Systems with Gurdeep Pall - #450

AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449

Off-Line, Off-Policy RL for Real-World Decision Making at Facebook - #448

A Future of Work for the Invisible Workers in A.I. with Saiph Savage - #447

Trends in Computer Vision with Pavan Turaga - #444

Trends in Graph Machine Learning with Michael Bronstein - #446

Trends in Natural Language Processing with Sameer Singh - #445

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442

Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441

Natural Graph Networks with Taco Cohen - #440

ML Feature Store at Intuit with Srivathsan Canchi - #438

re:Invent Roundup 2020 with Swami Sivasubramanian - #437

Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436

Scaling Video AI at RTL with Daan Odijk - #435

Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433

Common Sense as an Algorithmic Framework with Dileep George - #430

Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428

Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427