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The Data Science Design Manual (Texts in Computer Science) 1st ed. 2017 Edition

4.8 out of 5 stars 30 ratings

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Editorial Reviews

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.


Product details

  • Item Weight : 2.6 pounds
  • Hardcover : 462 pages
  • ISBN-10 : 9783319554433
  • ISBN-13 : 978-3319554433
  • Dimensions : 7.2 x 1.1 x 9.4 inches
  • ASIN : 3319554433
  • Publisher : Springer; 1st ed. 2017 edition (August 29, 2017)
  • Language: : English
  • Customer Reviews:
    4.8 out of 5 stars 30 ratings
Jesse Eisenberg's latest fiction
"When You Finish Saving the World" Listen free with trial

Customer reviews

4.8 out of 5 stars
4.8 out of 5
30 global ratings
5 star
87%
4 star
7%
3 star
5%
2 star 0% (0%) 0%
1 star 0% (0%) 0%
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Top reviews from the United States

Reviewed in the United States on May 9, 2019
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Reviewed in the United States on August 25, 2017
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7 people found this helpful
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Reviewed in the United States on August 4, 2017
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7 people found this helpful
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Reviewed in the United States on October 31, 2017
3 people found this helpful
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Top reviews from other countries

Christoph Kögl
4.0 out of 5 stars Bunter Strauß an Themen
Reviewed in Germany on January 13, 2018
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2 people found this helpful
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Amazon Customer
5.0 out of 5 stars Excellent introduction to Data science
Reviewed in Canada on October 7, 2019
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KateNL
5.0 out of 5 stars Excellent introductory book
Reviewed in Germany on July 2, 2018
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