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Item #:
254227585
Mathematical Analysis of Machine Learning Algorithms, (Hardcover)
Item #:
254227585
NAD 1241
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Product Details
- The mathematical theory of machine learning not only explains the current algorithms but can also motivate principled approaches for the future. This self-contained textbook introduces students and researchers of AI to the main mathematical techniques use to analyze machine learning algorithms, with motivations and applications. Topics covered include the analysis of supervised learning algorithms in the iid setting, the analysis of neural networks (e.g. neural tangent kernel and mean-field analysis), and the analysis of machine learning algorithms in the sequential decision setting (e.g. online learning, bandit problems, and reinforcement learning). Students will learn the basic mathematical tools use in the theoretical analysis of these machine learning problems and how to apply them to the analysis of various concrete algorithms. This textbook is perfect for readers who have some background knowledge of basic machine learning methods, but want to gain sufficient technical knowledge to understand research papers in theoretical machine learning.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | August, 2023 |
| Pages | 468 |
| Reading level | Kindergarten, Preschool |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | 1 |
| Publisher | Cambridge University Press |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | College |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Number of discs | 1 |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.00 x 1.00 x 10.00 in (17.8 x 2.5 x 25.4 cm) |
| Assembled product weight | 2.25 lb (1.02 kg) |
| Bisac subject heading | Computers |
Product Description
Mathematical Analysis of Machine Learning Algorithms, (Hardcover)
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