(9780387310732) - Dimensions: 178 x 254 x 43.18mm | 2,147g - Edition: 1st ed. 2006. Corr. 2nd printing 2011 - Format: 738 pages - ISBN: 9780387310732 - Number of pages: 738 - Languages: English - Publication place: New York, NY, United States
(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
(9780262035613 / 45189572) - Country of publication: UNITED STATES - Dimensions: 229 x 178 x 32 mm - Format: 800 pages - Height: 187 mm - Spine width: 35 mm - Width: 237 mm - The MIT Press - In Print | Deep Learning techniques
(9780997316025 / colour illustrations) - Dimensions: 140 x 216 x 12mm | 288g - Format: 180 pages - ISBN: 9780997316025 - Languages: English - Code Energy LLC | Computer Science
(9780262018029) - Dimensions: 229 x 203 x 41 mm - Height: 241 mm - Spine width: 44 mm - Width: 213 mm - The MIT Press - ISBN: 9780262018029 - Number of pages: 1067 - Languages: English - Publication date: 18 Sep | Probabilistic Perspective Hardback
Explore Gaussian Processes for Machine Learning and master probabilistic modeling with intuitive explanations, practical examples, and advanced inference techniques that empower data scientists to build robust predictive models.
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