Machine Learning Book Reading Club

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

• Speaker to be confirmed
• Wednesday 22 October 2008, 11:00-12:00
• Committee Room (1st floor, Bragg Building), Cavendish Laboratory, Department of Physics.

If you have a question about this talk, please contact Philipp Hennig.

This week’s meeting is the first towards the long term goal of reading E. T. Jaynes’ “Probability Theory, the Logic of Science”.

The ML Book Reading Club is a group effort to read through, understand and take away as much as possible from a series of seminal books on the subjects of Machine Learning, Probability, Information Theory and Neuroscience. We successfully made our way through Chris Bishop’s “Pattern Recognition and Machine Learning” over the summer 2008. Jaynes’ book will last us until ca. Easter 2009 and will be followed by Dayan’s and Abbot’s “Theoretical Neuroscience” and David MacKay’s “Information Theory, Inference and Learning Algorithms”.

If you are interested in the reading club but cannot make this date, please write to the organiser. We will try to accommodate people’s timetables as far as possible.

If you would like to attend, please bring along a copy of the book. Everyone attending will be expected to have read chapter 1 (to page 23).

Please note the change of venue. If you do not know where the new room is, there will be someone waiting at the TCM seminar room (the usual venue) to pick you up about 5 minutes before the group starts.

This talk is part of the Machine Learning Journal Club series.

This talk is included in these lists:

• Cambridge talks
• Committee Room (1st floor, Bragg Building), Cavendish Laboratory, Department of Physics
• Guy Emerson's list
• Hanchen DaDaDash
• Inference Group Journal Clubs
• Inference Group Summary
• Interested Talks
• ML
• Machine Learning Journal Club
• Machine Learning Summary
• Quantum Matter Journal Club
• TQS Journal Clubs
• rp587
• yk373's list

Note that ex-directory lists are not shown.