Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization, Book
88% of respondents would recommend this to a friend
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產品詳情
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | November, 2016 |
| Pages | 327 |
| Subgenre | Artificial Intelligence |
| Series title | Intelligent Systems Reference Library |
| Number in series | 118 |
| Edition | 2017 Edition |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Edu focus | General |
| Educational level | Higher |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.81 x 9.21 in (15.6 x 2.1 x 23.4 cm) |
| Assembled product weight | 1.45 lb (660 grams) |
| Bisac subject heading | Computers |
產品敘述
Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization, Book 118, (Hardcover)
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Dionisios N Sotiropoulos All Books Editorial Review
Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization is a comprehensive hardcover book that explores advanced concepts in artificial intelligence, particularly focusing on how artificial immune systems can be applied to software personalization. This non-fiction work, published in November 2016, spans 327 pages and is part of the esteemed Intelligent Systems Reference Library series. Readers will appreciate the in-depth analysis of machine learning paradigms, making it an essential resource for higher education and industry professionals alike. Its concise dimensions and case binding create an ideal format for both academic and casual readers interested in computing and internet technologies.
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優點
- Comprehensive coverage of artificial intelligence concepts
- Well-structured and informative for higher education
- Useful in both academia and industry applications
- Covers software personalization strategies effectively
- Part of a reputable series in intelligent systems
缺點
- May not appeal to casual readers outside of academia
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HKD 1055
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