Doing Data Science: Straight Talk from the Frontline by Cathy O'Neil, Rachel Schutt(2013) - EPUB/PDF - zeke23
Publication Date: 2013-10-31 - ISBN-13: 9781449358655 - 406 pages - True PDF /EPUB- English
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