Learning to work with Learning Machines

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

• Challenger Mishra (University of Cambridge)
• Friday 20 October 2023, 16:00-17:30
• Seminar Room 2, Newton Institute.

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.

This talk is included in these lists:

• All CMS events
• Featured lists
• INI info aggregator
• Isaac Newton Institute Seminar Series
• School of Physical Sciences
• Seminar Room 2, Newton Institute
• bld31

Note that ex-directory lists are not shown.