Attention conservation notice: As though I don't drone on about technical books too much as it is, pointers to five reviews averaging 2,000+ words each.
Some notes on books which grew too large for the end-of-the-month wrap-ups:
- Robert E. Schapire and Yoav Freund, Boosting: Foundations and Algorithms
- D. R. Cox and Christl A. Donnelly, Principles of Applied Statistics
- Peter Bühlmann and Sara van de Geer, Statistics for High-Dimensional Data: Methods, Theory and Applications
- Cristopher Moore and Stephan Mertens, The Nature of Computation
- Mehryar Mohri, Afshin Rostamizadeh and Ameet Talwalkar, Foundations of Machine Learning
- Peter Bühlmann and Sara van de Geer, Statistics for High-Dimensional Data: Methods, Theory and Applications
The review of Cox and Donnelly originally ran in American Scientist. The reviews of Moore and Mertens, and of Bühlmann and van de Geer, were things I started last year and only just finished.
