Boston | April 13th – April 17th, 2020

Machine Learning & Deep Learning Track

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

Comprising of multiple tracks this focus area is where leading 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. Some of the topics you’ll learn include:

  • Machine Learning

  • Deep Learning

  • Deep Reinforcement Learning

  • Neural Networks

  • LSTM, CNNs, RNNs, & GANs,

  • Computer Vision

  • Pattern Recognition

  • Tensorflow

  • Scikit-learn

  • Keras

  • Caffe 2

  • PyTorch

  • Theano

  • Apache Spark & MlLib

  • and many more…

  • Federated Learning

  • Transfer Learning

  • Autonomous Machines

  • MLOps and Kubeflow

  • Recommendation Systems

  • Never Ending Learning for ML

  • Causal Inference

Some of Current ML & DL Speakers


Click Here For Full Lineup
2020 Speakers

Focus Area: Machine Learning & Deep Learning      Session: Training 

Deep Learning (with TensorFlow 2)

Dr. Jon Krohn, Chief Data Scientist, Author of Deep Learning Illustrated, Untapt 


Focus Area: Deep Learning      Session: Talk 

The Software GPU: Making Inference Scale in the Real World

Nir Shavit, PhD, CEO, Professor, Neural Magic, MIT


Focus Area: Machine Learning & Deep Learning      Session: Training 

Modern and Old Reinforcement Learning

Leonardo De Marchi, Head of Data Science and Analytics, Badoo (now MagicLab, which owns several apps)


Focus Area: Machine Learning, Research Frontiers      Session: Tutorial 

Uplift Modeling Tutorial: Predictive and Prescriptive Analytics

Victor Lo, PhD, Head of Data Science & Artificial Intelligence, Fidelity Investments


Focus Area: Machine Learning, MLOps & Data Engineering      Session: Training

Data Science and Machine Learning in the Cloud for Cloud Novices

Joy Payton, Supervisor, Data Education, Children’s Hospital of Philadelphia


Focus Area: Machine Learning      Session: Talk 

Title Coming Soon!

Sebastian Raschka, PhD, Professor, Researcher, Author of ‘Python Machine Learning’, University of Wisconsin-Madison

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

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 your 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

Sessions on Machine Learning & Deep Learning 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!

Sign Up for ODSC EAST 2020 | April 13th – April 17th

Register Now