Beginner Lessons

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

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

Complexity and Intelligence with Melanie Mitchell - #464

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

Evolution and Intelligence with Penousal Machado - #459

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

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

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

Trends in Graph Machine Learning with Michael Bronstein - #446

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

ML Feature Store at Intuit with Srivathsan Canchi - #438

re:Invent Roundup 2020 with Swami Sivasubramanian - #437

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

Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429

Webinar: Feature Stores for Accelerating AI Development

Feature Stores for MLOps with Mike del Balso - #420

How Deep Learning has Revolutionized OCR with Cha Zhang - #416

#TWIMLfest: What it Means to Be a Lone ML Engineer at a Startup

#TWIMLfest: A Rookie Playbook for ML Beginners

#TWIMLfest: Checklists for Testing NLP Models

#TWIMLfest: AI for Kids

#TWIMLfest: Codenames Session #3

#TWIMLfest Live Keynote Interview - The Future of Education and AI with Sal Khan - #423

Machine Learning for Sustainable Agriculture

#TWIMLfest: AI in the Fight Against Climate Change

#TWIMLfest: Fundamentals of Medical Image Processing for Deep Learning

#TWIMLfest: Learn by Leading: Study Group Panel

#TWIMLfest: Show & Tell: Art Training: How Artistic Practices Can Adopt Machine Learning

#TWIMLfest - Lightning Sessions #1

#TWIMLfest: Deep Learning for Time Series in Industry

#TWIMLfest: Codenames Working Session #1

ML-Powered Language Learning at Duolingo with Burr Settles - #412

Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich - #411

Understanding Cultural Trends with Computer Vision w/ Kavita Bala - #410

3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari - #408

ML Systems for Leaders Innovators Webinar

ML Systems for Leaders & Innovators with Louis Dorard

What are the Implications of Algorithmic Thinking? w/ Michael I. Jordan - #407

Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406

3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari - #408

Machine Learning as a Software Engineering Discipline with Dillon Erb - #404

AI and the Responsible Data Economy with Dawn Song - #403

Neural Augmentation for Wireless Communication with Max Welling - #398

Quantum Machine Learning: The Next Frontier? - With Iordanis Kerenidis - #397

TWIML Webinar: "Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker"

Graph ML Research at Twitter with Michael Bronstein - #394

Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386 (Video)

Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389 (Video)