COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Learning to work with Learning Machines
Learning to work with Learning MachinesAdd 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. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsPriscilla Afro Ball 2022 Business in Africa Conference 2016Other talksPredicting microbial interactions Symmetry and topology in optical and plasmonic materials Machine Learning Integrability in 1D and 2D Models of Gravity Non-reciprocal Multifarious Self-organization Challenges and solutions in identifying the genes responsible for local adaptation Scaling up from individual interactions to biodiversity dynamics |