ML Fundamentals

Jeremy Howard: Very Fast Training of Neural Networks | AI Podcast Clips

Making the Mid-career Leap from Urban Design to Deep Learning/Data Science

Principal Component Analysis (The Math) : Data Science Concepts

Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300

Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299

DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297

Neuroevolution of Augmenting Topologies (NEAT)

Siamese Neural Networks

Automated ML for RNA Design with Danny Stoll - TWIML Talk #288

Reconciling modern machine learning and the bias-variance trade-off

Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286

Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar - TWIML Talk #280

Deep Learning Podcast #1 | Edward Dixon | Stochastic Weight Averaging

Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon -...

Video Classification with Deep Learning

Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267

Neural Architecture Search

Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19)

Inside TensorFlow: tf.data - TF Input Pipeline

End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256

TensorFlow Federated (TFF): Machine Learning on Decentralized Data (TF Dev Summit ‘19)

Powered by TensorFlow: utilizing deep learning to better predict extreme weather

Neural Network from scratch - Part 3 (Backward Propagation)

Neural Network from scratch - Part 2 (Forward Propagation)