University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Learning to work with Learning Machines

Learning to work with Learning Machines

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact nobody.

BLH - Black holes: bridges between number theory and holographic quantum information

This three part bootcamp by Challenger Mishra in ML is a step by step introduction to the art of  problem solving via Machine learning. Starting with  an accessible introduction to essential concepts, the course will unpack basic tools and techniques which will allow a beginner to familiarise themselves with  available ML structures and eventually, via a series of hands on exercises, allow them to frame problems in a machine learnable set up. Operating software: Mathematica

This talk is part of the Isaac Newton Institute Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity