Doing Data Science by Rachel Schutt – FB2 download

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      Martha Wenke
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      Doing Data Science
      by Rachel Schutt, Cathy O’Neil

      Doing Data Science ~ Read More

      • Publisher: O’Reilly Media
      • Release date: November 3, 2013
      • Format: paperback, 375 pages
      • First published: January 1, 2013
      • Genres: technology, programming, business, science, technical, mathematics, computers, textbooks
      • Language: english
      • ISBN: 9781449358655 (1449358659)
      • Author: Rachel Schutt, Cathy O’Neil

      About The Book

      Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.

      In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.

      Topics include:

      Statistical inference, exploratory data analysis, and the data science process

      Algorithms

      Spam filters, Naive Bayes, and data wrangling

      Logistic regression

      Financial modeling

      Recommendation engines and causality

      Data visualization

      Social networks and data journalism

      Data engineering, MapReduce, Pregel, and Hadoop

      Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

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