AI Learning Accelerator
Scott Lundberg

Interpreting Predictions from Complex Models

With large modern datasets the best accuracy is often achieved by complex models even experts struggle to interpret. Here, we present a unified framework for interpreting predictions, namely SHAP (SHapley Additive exPlanations)

Barton Poulson

Data science for the 99%

Many small companies such as start-ups may never have a data science team. Learn ways in which this neglected majority can benefit from data science.

Jack Hidary

Application of AI and Data Science in the Medical World

Learn how AI is having a profound impact in the medical world

Delaney Granizo-Mackenzie

Dealing with Overfitting When Crowdsourcing Financial Alpha

Quantopian is attempting to change Fnancial services by allowing anybody to research and design trading strategies.

Kaz Sato

Advancing large-scale neural network predictions

Use BigQuery for deep learning to "democratize enterprise data"

Kirill Eremenko

Machine Learning For Beginners

This excellent primer teaches you the difference between AI, machine learning, and deep learning and also the basics of essential models in all three.

Ronald Bodkin

Artificial Intelligence in the Enterprise

Accomplished AI expert Ronald Bodkin explains why AI is so hot, details enterprise use cases, and given you insights on how to get started on your AI journey

Michael Segala

Modern Approaches to Finance

Given the high volume of accurate historical data and the underlying quantitative nature of the industry, the financial sector is well suited for machine learning. Today data science has found many integral roles in the this financial ecosystem

Soumith Chintala

Deep Learning using PyTorch

PyTorch is new deep learning framework that enables new-age A.I. research using dynamic computation graphs

Morgane Ciot

Intro to D3

Visualizations are the most important way we can intuitively make sense of our data. And the best way to dig deeper into our data is to make those visualizations interactive. Everyone from the New York Times to Google is using D3.js. Learn why.

Tanya Cashorali

Rapid Prototyping Data Products using R Shiny

Learn the benefits of rapid prototyping using the popular R Shiny platform

David Rose

Dreams for Future Cities: How AI wants to take care of us

A renowned author and MIT Media Lab researcher delivers an electrifying talk on how AI can profoundly impact our lives.

Jeremy Achin

League of Losers Against Innovation and AI

In this hard hitting and witty talk, the CEO of one of AI’s hottest start-ups rails against the forces aligned against implementing AI in the enterprise.

Leen Schafer

The Coexistence of Data Science in a Uni-variate Data-Driven Culture

Elena Terenzi

Using Deep Learning for search-by-example scenarios within large image catalogs

Suraj Bang

Building Data Pipelines for ML

Ben Duffy

Introduction to Reinforcement Learning