The Data Science Design Manual, 2017th Edition
- Hardcover
445 pages
- Release Date
29 August 2017
Summary
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data.
The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive unders…
Book Details
| ISBN-13: | 9783319554433 |
|---|---|
| ISBN-10: | 3319554433 |
| Author: | Steven S. Skiena |
| Publisher: | Springer International Publishing AG |
| Imprint: | Springer International Publishing AG |
| Format: | Hardcover |
| Number of Pages: | 445 |
| Edition: | 2017th |
| Release Date: | 29 August 2017 |
| Weight: | 1.17kg |
| Dimensions: | 178mm x 254mm |
| Series: | Texts in Computer Science |
You Can Find This Book In
Critics 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)
Steven S. Skiena
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.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.