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Doing Data Science

By Rachel Schutt

Doing Data Science Computer Science

Doing Data Science

Only 2 items left in stock
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
Binding:
Paperback
Edition:
1
Number of Pages:
405
Release Date:
2013-11-30
Publication Date:
2013-12-03
Publisher:
O'Reilly Media
Languages:
Original: English
ISBN10:
1449358659
ISBN13:
9781449358655
GPSR Manufacturer Reference:
[email protected]
Weight:
594 g
Height:
153 cm
Width:
228 cm
Thickness:
27 cm

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Very good
Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
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