Boston | April 30-May 3, 2019

Open Data Science Track

The Main Event

Some of Our Current Speakers

Open Data Science

With some of the best and brightest minds in data science presenting, get the latest insights, trends, and discoveries in data science languages, tools, topics – and beyond.

Connect with some of the most innovative people and ideas in the world of data science, while learning first-hand from core practitioners and contributors.


Max Kuhn, PhD
Max Kuhn, PhD

Software Engineer, Author & Creator of Caret at RStudio

Anna Veronika Dorogush
Anna Veronika Dorogush

ML Lead at Yandex

Ido Shlomo
Ido Shlomo

Data Science Manager at BlueVine

Fangjin Yang
Fangjin Yang

Core Contributor to Druid | CEO at Imply.io

Ted Petrou
Ted Petrou

Founder at Dunder Data

Robert Crowe
Robert Crowe

Developer Advocate, TensorFlow at Google

Richard Liaw
Richard Liaw

AI Researcher at RISELab at UC Berkeley

Eric Liang
Eric Liang

Project Lead at RISELab at UC Berkeley

Adem Efe Gencer, PhD
Adem Efe Gencer, PhD

Software Engineer at LinkedIn

Matthew Teschke
Matthew Teschke

Senior Data Scientist at Novetta

Byron Galbraith, PhD
Byron Galbraith, PhD

Chief Data Scientist at Talla

Ryan Harter
Ryan Harter

Senior Staff Data Scientist at Mozilla

Suman Bhattacharya, PhD
Suman Bhattacharya, PhD

Senior Data Scientist at Uber

Sarah Aerni, PhD
Sarah Aerni, PhD

Director of Data Science and Engineering at Salesforce

Sessions on Open Data Science Track

  • Workshop: Deciphering the Black Box: Latest Tools and Techniques for Interpretability

  • Talk: Adversarial Attacks on Deep Neural Networks

  • Training: Integrating Pandas with Scikit-Learn, an Exciting New Workflow

  • Workshop: Machine Learning for Digital Identity

  • Talk: Adding Context and Cognition to Modern NLP Techniques

  • Training: Good, Fast, Cheap: How to do Data Science with Missing Data

  • Workshop: Open Data Hub workshop on OpenShift

  • Talk: Practical AI solutions within healthcare and biotechnology

  • Training:  Apache Spark for Fast Data Science (and Fast Python Integration!) at Scale

  • Workshop: Reproducible Data Science Using Orbyter

  • Talk: Combining millions of products into one marketplace using computer vision and natural language processing

  • See the whole schedule!

What You'll Learn

Talks & Workshops on these topics:

Topics

  • Deep Learning

  • Predictive Analytics

  • Machine Learning

  • Natural Language Processing

  • Probabilistic Programming

  • Artificial Intelligence

  • Data Wrangling

Languages

  • Python

  • R

  • Julia

  • Pig/Hive

  • NoSql

  • Scala

  • Jupyter Notebooks

  • Stan

Tools

  • Apache Spark, MLlib, Streaming

  • Tensorflow, Caffe, CNTK, Torch

  • Scikit-learn, Azure ML, Amazon ML, H20.ai

  • Neo4J, D3.js, R-Shiny

  • Hadoop, Apache Storm, Apache Flink

  • And many more…

You Will Meet

  • Some of the world’s best data science speakers

  • The brains and authors behind today’s most popular open data science tools, topics and languages

  • Hundreds of attendees focused on data science

  • Chief Data Scientists

  • Thought leaders working in data science

  • Data Scientists and Analysts

  • Software Developers

  • CEOs, CTOs, CIOs

  • Data Visualization professionals

  • Venture Capitalists and Investors

  • Startup Founders and Executives

  • Attendees from Healthcare, Finance, Education, Business, Intelligence, and other industries

  • Big data and data science innovators

Why Attend?

Several of the best minds and biggest names in data science will be presenting

Network with attendees from leading data science companies to learn how others are tackling similar problems

Gain quality training and cutting-edge insights in the hottest data science topics, tools, and languages

Learn the latest in data science from industry leaders without having to make room in the budget — tickets are surprisingly inexpensive

Sign Up for ODSC EAST 2019 | April 30-May 3

Register Now