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In our reading group, we read in-depth about areas that are useful for understanding machine learning, e.g., statistics, optimization, etc. We meet on Tuesdays from 14:00-15:30, usually in IF 2.33. To find out our schedule (which is usually decided at the last minute), join the mailing list cup-people@infREMOVE_THIS.

Past Readings

We tend to focus on PhD-level tutorial style readings, e.g., we have read the Boyd and Vandenberghe book on convex optimization and Wasserman's "All of Statistics" books.

Future Readings

Computational Resources

There are several compute servers available for Charles's students. At the moment these are

  • cup01 (alias: mug): dual processor Xeon (circa 2012), 8 cores, 64 GB RAM, 2TB disk
  • cup02 (alias: demitasse): dual processor Xeon (circa 2012), 8 cores, 64 GB RAM, 2TB disk
  • cup03 (alias: saucer): dual processor Xeon (circa 2012), 8 cores, 64 GB RAM, 2TB disk
  • cup04 : dual processor Xeon (2014), 12 cores, 64 GB RAM, 1.8TB disk

Also check out the ML computational resources, ANC computational resources, and ECDF.

We also have 2TB of mirrored (not backed up) space at

/afs/inf.ed.ac.uk/group/cup/data1

/afs/inf.ed.ac.uk/group/cup/data2

Please create a subdirectory for yourself if you would like to use this.

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Topic revision: r9 - 27 May 2015 - 15:06:47 - CharlesSutton
 
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