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Web And Network Data Science: Modeling Techniques In Predictive Analytics (FT Press Analytics)

Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics.

Series: FT Press Analytics

Hardcover: 384 pages

Publisher: Pearson FT Press; 1 edition (December 31, 2014)

Language: English

ISBN-10: 0133886441

ISBN-13: 978-0133886443

Product Dimensions: 7.1 x 1.2 x 9.2 inches

Shipping Weight: 1.8 pounds (View shipping rates and policies)

Average Customer Review: 2.3 out of 5 stars  See all reviews (3 customer reviews)

Best Sellers Rank: #655,163 in Books (See Top 100 in Books) #35 in Books > Computers & Technology > Web Development & Design > Website Analytics #103 in Books > Engineering & Transportation > Engineering > Industrial, Manufacturing & Operational Systems > Production, Operation & Management #379 in Books > Computers & Technology > Databases & Big Data > Data Mining

Terrible. Code is outdated, descriptions are lacking or don't follow the code. Topics are scattered and hardly connected.Save your money. There are a LOT of better books on the subject out there!

I like nice book, good information and clear Python and R codeI think the book should have more diagrams and content at the chapter 5 (Watching Competitors) and chapter 10 (Making Recommendations ).

The book site's URL (as listed in the book) directs to a totally different book by the same author. Asking the publisher did not seem to help at all. Not sure where the book site is.

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