Price from
21.95 CAD
21.95 CAD
Machine Learning, revised and updated edition by Ethem Alpaydin
A comprehensive guide to modern machine learning, blending theory with practical applications. Updated examples, intuitive explanations, and hands‑on exercises make complex concepts accessible for students and professionals alike
Stores where to buy this product
Sponsored This site contains affiliate links for which we may receive compensation. More information
This product has not been found in any sponsored store recently, please check similar products from our sponsors or review other stores we offer where you may find the product.
Other stores where to find this product
Offers marked with this badge are promoted without sponsorship, although we try to keep prices up to date, these results are not updated daily like sponsored results. Please check the final price on the offer link.
coopzone.ca
Similar products
| This product in Comparor | |
|---|---|
|
Category
This product is cataloged in our store in these categories
|
|
|
International
Find this product in one of our international stores
|
This product has not been found in other countries
|
| Colors
Predominant colors of the product |
|
| Identifiers | |
| Brand | Ethem Alpaydin |
| ID | 37378091 |
| Dimensions / Weight | |
| Key Features | |
Related articles
(9780262529518 / 44826481) - Country of publication: UNITED STATES - Dimensions: (H) 178mm, (W) 130mm, (D) 12mm - Height: 128 mm - Spine width: 15 mm - Width: 177 mm - The MIT Press - xv, 206 - In Print
(9780465094271) - Height: 210 mm - Spine width: 22 mm - Width: 140 mm - Basic Books - ISBN: 9780465094271 - Number of pages: 352 - Languages: English - Weight: 298 g
(9780141979243) - Dimensions: 198 x 129 x 20 mm - Format: 352 pages - Height: 131 mm - Spine width: 24 mm - Width: 198 mm - Penguin Books - London, United Kingdom - Penguin Books Ltd - ISBN: 9780141979243 | Master Algorithm
(9780128042915) - Country of publication: UNITED STATES - Dimensions: (H) 234mm, (W) 190mm, (D) 28mm - Edition: 4 ed - Paperback: 654 pages - Publisher: Morgan Kaufmann; 4 edition (22 Dec. 2016) - Morgan Kaufmann Publishers In
A comprehensive guide that blends statistical theory with practical algorithms, covering Bayesian inference, neural networks, and support vector machines to master pattern recognition and machine learning.
