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Doing Data Science
Rachel Schutt
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Description for Doing Data Science
Paperback. 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 tells you what you need to know. Num Pages: 406 pages, illustrations. BIC Classification: UNF. Category: (XV) Technical / Manuals. Dimension: 154 x 229 x 21. Weight in Grams: 594.
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, ... Read more
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, ... Read more
Product Details
Publisher
O´Reilly Media United States
Number of pages
406
Format
Paperback
Publication date
2013
Condition
New
Weight
582g
Number of Pages
300
Place of Publication
Sebastopol, United States
ISBN
9781449358655
SKU
V9781449358655
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
About Rachel Schutt
Cathy O'Neil earned a Ph.D. in math from Harvard, was postdoc at the MIT math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then chucked it and switched over to the private sector. She worked as a quant for the hedge fund D.E. Shaw in the middle of ... Read more
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