March 30th – April 1st, 2021
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 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 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 Current ML & DL Speakers
Some Previous ML & DL Speakers
See all our talks and hands-on workshop and training sessions
See all sessionsYou 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 fields 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 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 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
