San Francisco | Oct 31st-Nov 3rd, 2018

Machine Learning & Deep Learning Track

Learn the latest models, advancements and trends from the creators and top practitioners behind two of data science’s hottest topics

Machine Learning & Deep Learning

The Machine Learning & Deep Learning Conference is where experts in the rapidly expanding fields of Deep Learning and Machine Learning gather to discuss the latest advances, trends, and models in this exciting field.

Attend talks, tutorials and workshops and hear from the creators and top practitioners as they demonstrate and teach the latest models and trends in Machine Learning and Deep Learning to solve problems in business and society.

What You'll Learn

Talks + Workshops + Special Events on these topics:

Topics

  • Machine Learning

  • Deep Learning

  • Artificial Intelligence

  • Neural Networks

  • Natural Language Processing

  • Computer Vision

  • Pattern Recognition

Tools & Languages

  • R

  • Python SciPy, Pandas, etc

  • Scikit-learn

  • Tensorflow

  • Spark

  • MLlib

  • H20

Tools & Languages

  • WEKA

  • Pylearn2

  • Theano

  • Caffe

  • Torch

  • Azure Machine Learning API

  • and many more..

Sample of Confirmed Machine Learning & Deep Learning Presenters West 2018

Julien Simon
Julien Simon

Principal Evangelist ML/AI EMEA at Amazon

Jeffrey Yau, PhD
Jeffrey Yau, PhD

Chief Data Scientist at Alliance Bernstein

Richard Boire
Richard Boire

Senior Vice President at Environics Analytics

Randy Olson, PhD
Randy Olson, PhD

Lead Data Scientist at Life Epigenetics

Joshua Bloom, PhD
Joshua Bloom, PhD

VP Data Analytics at GE

Andreas Mueller, PhD
Andreas Mueller, PhD

Core Contributor of scikit learn. Author of Introduction to Machine Learning with Python

Jared Lander
Jared Lander

Statistics Professor and Statistics Professor at Columbia University and Author of R for Everyone

David Talby, PhD
David Talby, PhD

CTO at Pacific AI

Scott Clark, PhD
Scott Clark, PhD

CEO at SigOpt

Michael Tamir, PhD
Michael Tamir, PhD

Head of Data Science at Uber

Alex Ratner
Alex Ratner

PhD Student at Stanford University

Robert Alvarez, PhD
Robert Alvarez, PhD

Sr. Data Scientist at Metis

Luis Bitencourt-Emilio
Luis Bitencourt-Emilio

Principal Director of Engineering - ML at Reddit

Hila Lamm
Hila Lamm

Chief Strategy Officer at Firefly

Cyrus Moazami-Vahid
Cyrus Moazami-Vahid

Principal Evangelist for Apache MXNet at Amazon AI - AWS

George Williams
George Williams

Director of Data Science at GSI Technology, Inc.

Frances Haugen
Frances Haugen

Director of Data Product at Gigster

Jacob Schreiber, PhD
Jacob Schreiber, PhD

Graduate Student at University of Washington

Matthew Rubashkin, PhD
Matthew Rubashkin, PhD

AI Program Director at Insight Data Science

Why Attend?

Immerse yourself in talks, tutorials and workshops on Machine Learning and Deep Learning tools, topics, models and advanced trends

Expand your network and connect with like minded attendees to discover how Machine Learning and Deep Learning knowledge can transform not only your data models but also business and career

Meet and connect with the core contributors and top practitioners in the expanding and exciting field of Machine Learning and Deep Learning

Learn how the rapid rise of intelligent machines is revolutionizing how we make sense of data in the real world and its coming impact on the domains of business, society, healthcare, finance, manufacturing, and more

You Will Meet

  • Top speakers and practitioners in Machine Learning and Deep Learning

  • Data Scientists and Data Analysts

  • Decision makers

  • Software Developers focused on Machine Learning and Deep Learning

  • Data Science Innovators

  • CEOs, CTOs, CIOs

  • Industry leaders

  • Core contributors in the field of Machine Learning and Deep Learning

  • Data Science Enthusiasts

Sign Up for ODSC WEST | Oct 31st-Nov 3rd 2018

Register Now
Open Data Science Conference