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{ "item_title" : "Cultural Analytics", "item_author" : [" Lev Manovich "], "item_description" : "A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? 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 Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data. Drawing on more than 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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/26/203/710/0262037106_b.jpg", "price_data" : { "retail_price" : "40.00", "online_price" : "40.00", "our_price" : "40.00", "club_price" : "40.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Cultural Analytics|Lev Manovich

Cultural Analytics

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Overview

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? 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 Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data. Drawing on more than 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.

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Details

  • ISBN-13: 9780262037105
  • ISBN-10: 0262037106
  • Publisher: MIT Press
  • Publish Date: October 2020
  • Dimensions: 9.1 x 7.3 x 1.1 inches
  • Shipping Weight: 2.15 pounds
  • Page Count: 336

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