Book

Doing Data Science: Straight Talk from the Frontline

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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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Availability

Detail Information

Series Title

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Call Number

006..312

Publisher

Islamabad : Al Hafiz Traders., 2013

Collation

405

Language

English

ISBN/ISSN

978-1449358655

Classification

006..312

Content Type

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Media Type

-

Carrier Type

-

Edition

1st

Subject(s)

Computer Science Data Science
1. Computer Science 2. Software Engineering 3. Dat
Data Science Information Technology

Specific Detail Info

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Statement of Responsibility

Cathy O'Neil , Rachel Schutt

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