Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

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



I'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?


The 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.


Avrim Blum is not a Turing award winner; his father Manuel is.


this book was posted on John E. Hopcroft's webpage - https://www.cs.cornell.edu/jeh/ who also has won a Turing award.


A 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.


Data Scientist here. I use these, often.


hi, 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


See 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/


How many dimensions would you prefer your hardcopy to span?




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: