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The Data Science Design Manual Hardcover – 29 August 2017

4.9 out of 5 stars 23 ratings

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Product details

  • ASIN : 3319554433
  • Language : English
  • Hardcover : 445 pages
  • ISBN-10 : 9783319554433
  • ISBN-13 : 978-3319554433
  • Customer reviews:
    4.9 out of 5 stars 23 ratings

Product description

Review

“The book is more than a typical manual. In fact, the author himself designates it as a textbook for an introductory course on data science. The chapters are richly equipped with exercises. The topics are always explained starting with a proper motivation and continuing with practical examples. This is perhaps the most outstanding feature of the book. It can serve as a regular textbook for an academic course. In fact, I should like to recommend it exactly for this purpose. On the other hand, it provides a wealth of material for people from industry, such as software engineers, and can serve as a manual for them to accomplish data science tasks. It should be noted that the book is not just a text, but a much more complex product, including a full set of lecture slides available online as well as a solutions wiki.” (P. Navrat, Computing Reviews, February, 23, 2018)

About the Author

Dr. Steven S. Skiena is Distinguished Teaching Professor of Computer Science at Stony Brook University, with research interests in data science, natural language processing, and algorithms. He was awarded the IEEE Computer Science and Engineering Undergraduate Teaching Award “for outstanding contributions to undergraduate education ...and for influential textbooks and software.”  Dr. Skiena is the author of six books, including the popular Springer titles The Algorithm Design Manual and Programming Challenges: The Programming Contest Training Manual.

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Most helpful customer reviews on Amazon.com

Amazon.com: 5.0 out of 5 stars 4 reviews
SANDIP
5.0 out of 5 stars Got Brand new book!!!
10 May 2019 - Published on Amazon.com
Verified Purchase
Igor Kleiner
5.0 out of 5 stars It well organized with many examples, intuition explanations and without math proofs and code examples
25 August 2017 - Published on Amazon.com
Verified Purchase
7 people found this helpful
Heather
5.0 out of 5 stars Intuitive and good explainations
5 August 2017 - Published on Amazon.com
Verified Purchase
8 people found this helpful
Chris Cooper
5.0 out of 5 stars The analogies presented by Skiena help the reader grasp the ...
1 November 2017 - Published on Amazon.com
3 people found this helpful