Virtual and In-Person | October 27th – 30th, 2020

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 Track 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.

Previous Speakers

Mehrnoosh Sameki, PhD
Mehrnoosh Sameki, PhD

Technical Program Manager at Microsoft

Michael Tamir, PhD
Michael Tamir, PhD

Chief ML Scientist & Head of Machine Learning/AI at SIG

Jared Lander
Jared Lander

Chief Data Scientist, Author of R for Everyone, Professor at Lander Analytics,Columbia Business School

Dr. Jon Krohn
Dr. Jon Krohn

Chief Data Scientist, Author of Deep Learning Illustrated at Untapt

Jacob Baumbach
Jacob Baumbach

Deep Learning Engineer at SIG

Jonathan Purnell, PhD
Jonathan Purnell, PhD

VP of Data Science at Spectrum Labs

Yacov Salomon, PhD
Yacov Salomon, PhD

Partner and Co-founder at Super{set} and Backbone

Max Humber
Max Humber

Lead Instructor at General Assembly

David Talby, PhD
David Talby, PhD

Lead Instructor at General Assembly

Brian Lucena, PhD
Brian Lucena, PhD

Consulting Data Scientist at Agentero

Sessions on Machine Learning & Deep Learning Track

  • Training: Hands-On Introduction to LSTMs in Keras/TensorFlow

  • Training: Introduction to Deep Learning for Engineers

  • Training: Understanding the PyTorch Framework with Applications to Deep Learning

  • Training: Machine Learning in R

  • Training: Machine Learning with Scikit-learn

  • Training: Reinforcement Learning with TF-Agents & TensorFlow 2.0: Hands On

  • Talk: Enabling Powerful NLP Pipelines with Transfer Learning

  • Workshop: Advanced Methods for Working with Missing Data in Supervised Machine Learning

  • Talk: Lessons Learned Deploying a Deep Learning Visual Search Service at Scale

  • Talk: AutoML at Scale: Integrating Data as Part of Hyperparameter Optimization

  • Training: Deep Learning (with TensorFlow 2.0)

  • Workshop: Tutorial on Deep Reinforcement Learning

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..

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 fields 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 impacting the domains of business, society, healthcare, finance, manufacturing, and more

Sign Up for ODSC WEST | October 27th – 30th, 2020

Register Now