AI Learning Accelerator
Yuriy Guts
Free

Target Leakage in Machine Learning

Virginia Eubanks, PhD
Free

Keynote: Virginia Eubanks

Patrick Hayes
Free

Webinar - Tuning the untunable: Lessons for tuning expensive deep learning functions

Luciano Floridi
Free

Artificial Intelligence: Challenges and Opportunities

Seth Weidman
Free

Latest Developments in GANS

Mariana Romanyshyn
Free

Linguistics in NLP: why so complex?

Brianna Schuyler, Eric Schles and Abhishek Gupta
Free

Data Science for Good Webinar

Igor Volzhanin
Free

Personality Matters: Transforming Marketing through AI

Miquel Noguer Alonso, PhD
Free

Workshop: Deep Learning in Finance - An experiment and A reflection

Delin Shen
Free

Mission Analytics: Common pitfalls and how to avoid them (A journey in an insurance company)

Brandon Rohrer, Ph.D
Free

Using Data for Good

Jan Freyberg
Free

Interactive data visualization in Python

We will go through python libraries that make this extra development as frictionless as possible, and produce interactive visualizations with as little code as possible.

Ram Ravichandran
Free

Building an effective AI practice

Anyi Wang
Free

Recommending the best hotels at TripAdvisor

Kirk Borne
Free

Solving the Data Scientist's Dilemma - The Cold Start Problem

How can you maximize the data science outcomes, benefits, and applications when faced with the cold start problem?

Tomasz Adamusiak
Free

Knowledge Graphs in Financial Technology – Future or Hype

ODSC West'18
Free

Analyzing Space - Spatial Data Science Methods

Sourav Dey
Free

Applications of Mixed Effects Random Forests

Alexander Statnikov
Free

Machine Learning Powers Better Decisions in Financial Services

Ben Vigoda
Free

A Breakthrough for Natural Language

Michael Mahoney, PhD
Free

Matrix Algorithms at Scale: Randomization and using Alchemist to bridge the Spark-MPI gap

We describe use cases from scientific data analysis that motivated the development of Alchemist and that benefit from this system.

Alex Pentland
Free

Blockchain and AI, or future data systems must be built differently

Alejandro Jaimes, PhD
Free

Challenges and Opportunities in Applying Machine Learning

Skipper Seabold
Free

Introduction to Python for Data Science

We'll take a closer look at how Python can be leveraged to build effective data science workflows.