Doing Data Science
Schutt, Rachel; O'Neil, Cathy
Sold by GreatBookPricesUK, Woodford Green, United Kingdom
AbeBooks Seller since 28 January 2020
Used - Soft cover
Condition: Used - Good
Quantity: 5 available
Add to basketSold by GreatBookPricesUK, Woodford Green, United Kingdom
AbeBooks Seller since 28 January 2020
Condition: Used - Good
Quantity: 5 available
Add to basketMay show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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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:
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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