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

Data Science Research

The Most Advanced Active Research, Summarized

Data Science Research Tracks

Rapid Pace of Advancement

Data Science is a broad field and advancing at a tremendous pace. Every few months new research, models, and advances are announced.  For data science practitioners it’s essential to keep abreast of the latest advances. However, given the demands on our time that can be a daunting task.

The Most Advanced Research, Summarized

The Data Science Research track is the first of its kind.  Instead of having to parse the contents of countless papers or attend academic conferences we bring the best to you.  World-class academics, researchers, and professionals summarize the latest research across focus areas and detail what’s important.  This accelerates your insights on the latest research and serves as a foundation for more in-depth analysis.

A sample of our West 2017 speakers

Joseph Ross, PhD
Joseph Ross, PhD

Data Scientist at SignalFx

Jeffrey Yau, PhD
Jeffrey Yau, PhD

Chief Data Scientist at AllianceBernstein

Jared Lander
Jared Lander

Author of R for Everyone and Statistics Professor at Columbia University

Andreas Mueller, PhD
Andreas Mueller, PhD

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

Andrew Long, PhD
Andrew Long, PhD

Data Scientist at Fresenius Medical Care

Moritz Hardt, PhD
Moritz Hardt, PhD

Assistant Professor in the Department of Electrical Engineering and Computer Sciences at University of California - Berkeley

Marc Smith, PhD
Marc Smith, PhD

Chief Social Scientist at Connected Action Consulting Group

Jennifer Prendki, PhD
Jennifer Prendki, PhD

VP of Machine Learning at Figure Eight

Kevin Kuo
Kevin Kuo

Software Engineer at RStudio

Michael Mahnoney, PhD
Michael Mahnoney, PhD

Professor at UC Berkeley

Active Research Focus Areas

Data science is a broad and expanding field which many areas of study. Here are some of the main areas that our presenting researchers will be addressing:
  • Neural Networks

  • Machine Learning

  • Transfer Learning

  • Machine Vision

  • Natural Language Processing

  • Predictive Analytics

  • Pattern Recognition

  • Quantitative Finance

  • Speach Recognition

  • Time Series Analysis

  • Graph Theory

  • Network Analysis

  • Data Visualization

  • Anomaly Detection

Why Attend?

Hear from world-class researchers and academics on the top areas of active research

Take time out of your busy schedule to accelerate your knowledge on the latest advances in data science

Be the first amongst your peers to grasp changes that will affect the field in the next few years

Take advantage of and chose from another 120 talks, tutorials and workshops at ODSC West

Learn directly from top researchers what works and what doesn’t 

Connect and network with academics, research, and fellow professionals

Meet with peers and professional looking to learn, connect, and collaborate

Get access to other focus area content including ML / DL, Data Visualization, Quant finance, and Open Data Science

Who Should Attend

The Data Science Research track will prove invaluable to those of us looking to quickly understand in detail the topics that matter most in data science now

  • Experienced data scientists

  • Students and academics

  • Software engineers and architects

  • Business professionals interested in data science advancements

  • Experts from other domains looking to leverage data science

  • Beginners interested in the latest research

  • Researchers from academia and industry

  • Industry professionals

  • Technologists interested new data science applications

  • Industry experts looking to access the impact of data science

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

Register Now
Open Data Science Conference