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Table of Contents: * High Dimensional Space * Best Fit Subspace & SVD * Random Walks & Markov Chains * Machine Learning * Massive Data: Streaming, Sketchin
by dandermotj 10y ago
Table of Contents:
* High Dimensional Space
* Best Fit Subspace & SVD
* Random Walks & Markov Chains
* Machine Learning
* Massive Data: Streaming, Sketching, Sampling
* Clustering
* Topic Models, Hidden Markov Process, Graphical Models, and Belief Propagation
- marcv81 10y agoHow many dimensions would you prefer your hardcopy to span?
- tempodox 10y agoI'm new to the field (which his why the book interests me), so I have to ask: Is your TOC a confirmation or a contradiction to the parent comment?
- FraaJad 10y agoThe table of contents is pretty much the core topics of serious data science (as opposed to "learn to use data science libraries in $lang in 21 days") So yes, this book that is avaialble for download from a TURING Award winner's web page IS a Computer Science book for Data Science.
- Ar-Curunir 10y agoAvrim Blum is not a Turing award winner; his father Manuel is.
- FraaJad 10y agothis book was posted on John E. Hopcroft's webpage - https://www.cs.cornell.edu/jeh/ https://www.cs.cornell.edu/jeh/ who also has won a Turing award.
- dandermotj 10y agoA contradiction - data science is the place where statistics and computer science meet but this book definitely isn't characterised as a book about computer science and graphs. From the TOCs, it is heavily based in statistics.
- tomrod 10y agoData Scientist here. I use these, often.
- anon4008 10y agohi, sorry for responding in this thread but I saw your profile and was wondering if you had contact info I could reach you at? would be really interested in learning more about your work
- tomrod 10y agoSee my profile. Edit: I'm not sure why email is not showing up. Here is an old site with contact info: https://sites.google.com/site/thomasroderick/ https://sites.google.com/site/thomasroderick/