Cultural Analytics (MIT Press)
Friday, 30 October 2020

What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on social media  every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards? In this book, Lev Manovich presents concepts and methods for computational analysis of cultural data.

Drawing on a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.

Author: Lev Manovich
Publisher: MIT Press
Date: October 2020
Pages: 336
ISBN: 978-0262037105
Print: 0262037106
Kindle: B084V7XLC7
Audience: General
Level: Introductory
Category: Data Science

 

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

 

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Publisher: Manning
Date: February 2022
Pages: 448
ISBN: 978-1617299827
Print: 1617299820
Kindle: B09P1Z2PPB
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Rating: 5
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Pages: 464
ISBN: 978-0136886099
Print: 0136886094
Kindle: B094CPJ96B
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