Browse Lessons

The Biological Path Towards Strong AI with Matthew Taylor - #71

Pytorch: Fast Differentiable Dynamic Graphs in Python with Soumith Chintala - #70

Accessible Machine Learning for the Enterprise Developer with Ryan Sevey & Jason Montgomery - #69

Bridging the Gap Between Academic and Industry Careers with Ross Fadely - #68

The Limitations of Human-in-the-Loop AI with Dennis Mortensen - #67

Vinay Anantharaman & Michal Wolski Interview - Nexus Lab Cohort 2 - Bite.ai

Nexus Lab Cohort 2: Second Mind with Kul Singh - #66

Nexus Lab Cohort 2: Bowtie with Ron Fisher & Mike Wang - #64

Nexus Lab Cohort 2: Mt. Cleverest with Bernie Prat & James Villarrubia - #63

Building Conversational Interfaces for Financial Services with Kenneth Conroy - #61

Learning to Learn, and other Opportunities in Machine Learning with Graham Taylor - #62

Fighting Fraud with Machine Learning at Shopify with Solmaz Shahalizadeh - #60

Modeling Human Drivers for Autonomous Driving with Katie Driggs-Campbell - #59

Perception Models for Self- Driving Cars with Jianxiong Xiao - #58

Training Data for Autonomous Vehicles with Daryn Nakhuda - #57

From Here to AI: How to Get Started

AI in the Enterprise Panel

Human Factors in Machine Intelligence with James Guszcza - #56

Ray:A Distributed Computing Platform for Reinforcement Learning with Ion Stoica -#55

ML Use Cases at Think Big Analytics with Mo Patel & Laura Frølich - #54

Topological Data Analysis with Gunnar Carlsson - #53

AI-Powered Conversational Interfaces with Paul Tepper - #52

Intel Nervana DevCloud with Naveen Rao & Scott Apeland - #51

Bayesian Optimization for Hyperparameter Tuning with Scott Clark - #50

Symbolic and Subsymbolic Natural Language Processing with Jonathan Mugan - #49

Word2Vec & Friends with Bruno Gonçalves -#48

Learning Long-Term Dependencies with Gradient Descent is Difficult - TWiML Online Meetup

Evolutionary Algorithms in Machine Learning with Risto Miikkulainen - #47

Jennifer Prendki Interview - Agile Machine Learning - TWiML Talk #46

Learning From Simulated & Unsupervised Images through Adversarial Training - TWiML Online Meetup

LSTMs, Plus a Deep Learning History Lesson with Jürgen Schmidhuber - #44

Machine Teaching for Better Machine Learning with Mark Hammond - #43

Marrying Physics-Based and Data-Driven ML Models with Josh Bloom - #42

Cognitive Biases in Data Science with Drew Conway - #39

Data Pipelines at Zymergen with Airflow, w/ Erin Shellman - #41

Web Scale Engineering for Machine Learning with Sharath Rao - #40

Deep Learning for Warehouse Operations with Calvin Seward - #38

Deep Robotic Learning with Sergey Levine - #37

Smart Buildings & IoT with Yodit Stanton - #36

Expressive AI-Generated Music With Google's Performance RNN with Doug Eck - #32

Enhancing Customer Experiences with Emotional AI, w/ Rana el Kaliouby - #35

Video Object Detection at Scale with Reza Zadeh - #34

Intel Nervana Update + Productizing AI Research with Naveen Rao and Hanlin Tang - #31

The Power of Probabilistic Programming with Ben Vigoda - #33

Natural Language Understanding for Amazon Alexa with Zornitsa Kozareva - #30

Robotic Perception and Control with Chelsea Finn - #29

Reinforcement Learning Deep Dive with Pieter Abbeel - #28

Intelligent Autonomous Robots with Ilia Baranov - #27