Cathy O'Neil

(Author)

Doing Data SciencePaperback, 19 November 2013

Doing Data Science
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Print Length
408 pages
Language
English
Publisher
O'Reilly Media
Date Published
19 Nov 2013
ISBN-10
1449358659
ISBN-13
9781449358655

Description

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.

Product Details

Authors:
Cathy O'NeilRachel Schutt
Book Format:
Paperback
Country of Origin:
US
Date Published:
19 November 2013
Dimensions:
22.86 x 15.24 x 2.29 cm
ISBN-10:
1449358659
ISBN-13:
9781449358655
Language:
English
Pages:
408
Publisher:
Weight:
544.31 gm

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