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Meetup #42 [ Accelerating Machine Learning using JAX ]
Agenda of 42nd Meetup [ Online ]
7:00 PM IST - 7:30 PM IST: Accelerating Machine Learning using JAX by Usha Rengaraju [ Kaggle 3X Grandmaster ]
Talk Topic Details
JAX is a system for high-performance machine-learning research. It offers the familiarity of Python+NumPy together with hardware acceleration. JAX enables the definition and composition of user-wielded function transformations useful for machine-learning programs.
These transformations include automatic differentiation, automatic batching, end-to-end compilation (via XLA), parallelizing over multiple accelerators, and more. Composing these transformations is the key to JAX's power and simplicity.
In this session we will look at fundamentals of JAX and its powerful features using easy to understand code examples
7:30 PM IST - 7:45 PM IST : QnA Session for Usha's Talk
Connect with Usha on LinkedIn at usha-rengaraju-b570b7a2
[ All above timings are in IST ( Indian Standard Time ) ]
Have any queries regarding the meetup? Drop a mail to kdmdelhincr@gmail.com
What are Kaggle Days Meetups?
Kaggle Days Meetups are a series of events all over the world that aim to gather Kagglers and people interested in Data Science, Machine Learning, Artificial Intelligence around one city. Kaggle Days Meetup Delhi NCR is on a mission to gather Data Science, Machine Learning, Artificial Intelligence Enthusiasts and most importantly Kaggle fans.
Why you should attend?
LEARN how to start on ML, Data Science, AI through practice,
NETWORK with other people,
MEET Seasoned Data Scientists, ML/AI Engineer from top companies
HAVE FUN at the Data Ketchup Sessions and make new friends!
LEARN tips and trick on how to do Data Science, ML, win a Kaggle competition
IMPROVE your skills.
Who can attend this meetup?
Anyone with an interest to explore Machine Learning, Data Science along with participation in some real-world competitions over Kaggle can attend. This meetup is scheduled keeping in mind the concerns of a beginner to start with Kaggle.