The Data Science Design Manual (Texts in Computer Science) 1st ed. 2017 Edition
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“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.
- 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
- Best Sellers Rank: #640,968 in Books (See Top 100 in Books)
- Customer Reviews:
Top reviews from the United States
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This book is for beginners in the field. It well organized with many examples, intuition explanations and without math proofs and code examples
I am sure that I will continue to find such illuminating expositions on the remainder of the topics in this book.
I am looking forward to the class next semester at SBU taught by the author which I am enrolled in.