Doing Data Science: Straight Talk from the Frontline 1st Edition

4.1 out of 5 stars 107 ratings
Related Text
ISBN-13: 978-1449358655
ISBN-10: 1449358659
Why is ISBN important?
ISBN
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Have one to sell?
<Embed>
Loading your book clubs
There was a problem loading your book clubs. Please try again.
Not in a club? Learn more
Amazon book clubs early access

Join or create book clubs

Choose books together

Track your books
Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free.
Buy new:
$29.24
In Stock.
Ships from and sold by Amazon.com.
Available at a lower price from other sellers that may not offer free Prime shipping.
Arrives: Monday, Oct 5 Details
Fastest delivery: Thursday, Oct 1 Details
List Price: $54.99
Save: $25.75 (47%)
30 new from $20.00
& FREE Shipping. Details

Doing Data Science: Strai... has been added to your Cart

Available at a lower price from other sellers that may not offer free Prime shipping.

"The Eighth Sister" by Robert Dugoni
A pulse-pounding thriller of espionage, spy games, and treachery by the New York Times bestselling author of the Tracy Crosswhite Series. | Learn more
click to open popover

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
    Apple
  • Android
    Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore
    Android

To get the free app, enter your mobile phone number.

kcpAppSendButton

Frequently bought together

  • Doing Data Science: Straight Talk from the Frontline
  • +
  • Naked Statistics: Stripping the Dread from the Data
Total price: $43.63
Buy the selected items together

Special offers and product promotions


From the Publisher

Data Science, Business Data Science from Scratch Data Science, big data R, Data Science, r programming Data Science ,Command Line Python, Data Science
Data Science for Business Data Science from Scratch Doing Data Science R for Data Science Data Science at the Command Line Python Data Science Handbook
More Data Science from O'Reilly Media What You Need to Know about Data Mining and Data-Analytic Thinking First Principles with Python Straight Talk from the Frontline Visualize, Model, Transform, Tidy, and Import Data Facing the Future with Time-Tested Tools Tools and Techniques for Developers

Editorial Reviews

Review

"Every once in a while a single book comes to crystallize a new discipline. If books still have this power in the era of electronic media, "Doing Data Science: Straight Talk from the Frontline" by Rachel Schutt and Cathy O'Neil: O'Reilly, 2013 might just be the book that defines data science."
 -- Joseph Rickert
Revolutions Blog

About the Author

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 the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She is currently a data scientist on the New York start-up scene, writes a blog at mathbabe.org, and is involved with Occupy Wall Street.



Rachel Schutt is the Senior Vice President for Data Science at News Corp. She earned a PhD in Statistics from Columbia University, and was a statistician at Google Research for several years. She is an adjunct professor in Columbia’s Department of Statistics and a founding member of the Education Committee for the Institute for Data Sciences and Engineering at Columbia. She holds several pending patents based on her work at Google, where she helped build user-facing products by prototyping algorithms and building models to understand user behavior. She has a master's degree in mathematics from NYU, and a master's degree in Engineering-Economic Systems and Operations Research from Stanford University. Her undergraduate degree is in Honors Mathematics from the University of Michigan.


Product details

  • Item Weight : 1.2 pounds
  • Paperback : 408 pages
  • ISBN-10 : 1449358659
  • ISBN-13 : 978-1449358655
  • Product Dimensions : 6 x 0.78 x 9 inches
  • Publisher : O'Reilly Media; 1st Edition (November 12, 2013)
  • Language: : English
  • Customer Reviews:
    4.1 out of 5 stars 107 ratings
Pages with related products. See and discover other items: math statistics, data management, data structures and algorithms, crc books