Beginner Lessons

What the Data Tells us About COVID-19 with Eric Topol - #392

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

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

Panel: Advancing Your Data Science Career During the Pandemic - #380

Advancing Your Data Science Career During the Pandemic

The Physics of Data with Alpha Lee - #377

Is Linguistics Missing from NLP Research? With Emily M. Bender - #376

The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373

Language Modeling and Protein Generation at Salesforce with Richard Socher - #372

The Evolution of Evolutionary AI with Risto Miikkulainen - #367

Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365

The Measure and Mismeasure of Fairness with Sharad Goel - #363

Simulating the Future of Traffic with RL w/ Cathy Wu - #362

Secure and Private Deep Learning with PySyft - Democast #4

Geometry-Aware Neural Rendering with Josh Tobin - #360

AI Enterprise Workflow Study Group - Course 3 week 1

AI Enterprise Workflow Study Group - Course 2 week 2

Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357

SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen...

AI Enterprise Workflow Study Group - Course 2 week 1

Deep Learning for Coders Study Group - Session #10

Secrets of a Kaggle Grandmaster with David Odaibo - #354

Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352

High-Dimensional Robust Statistics with Ilias Diakonikolas - #351

AI Enterprise Workflow Study Group - Course 1 Week 1

How AI Predicted the Coronavirus Outbreak with Kamran Khan - #350

AI Enterprise Workflow Study Group - Informational Webinar

AI for Agriculture and Global Food Security with Nemo Semret - #347

Causal Models in Machine Learning

Deep Learning for Coders Study Group - Session #7

Causality 101 with Robert Ness - #342

Deep Learning for Coders Study Group - Session #4

Deep Learning for Coders Study Group - Session #3

Music & AI Plus a Geometric Perspective on Reinforcement Learning with Pablo Samuel Castro - #339

Deep Learning for Coders Study Group - Session #6

Deep Learning for Coders Study Group - Session #5

TWiML x CS224n Study Group - Lesson #19

Trends in Computer Vision with Amir Zamir - #338

Trends in Reinforcement Learning with Chelsea Finn - #335

Deep Learning for Coders Study Group - Session #2

Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331

Deep Learning for Coders Study Group - Session #1

How to Know with Celeste Kidd - #330

Using Deep Learning to Predict Wildfires with Feng Yan - #329

TWiML x Fast ai Deep Learning Part 2 Study Group - Lesson 17

Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327

Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326