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商品詳細
Intelligent Techniques for Data Science. 1st ed. 2016
・ISBN 978-3-319-29205-2 hard EUR 74.99
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| 著者・編者 | Akerkar, Rajendra / Sajja, Priti Srinivas, |
|---|---|
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2016 |
| ページ数 | 272 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-28243＞ |
解説
This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions./p>
The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for real-world applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.