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Algorithms
(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
(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
(9780199678112) - Dimensions: 161 x 240 x 27mm | 679g - Format: 352 pages - Height: 166 mm - Spine width: 23 mm - Width: 235 mm - Oxford University Press - Oxford, United Kingdom - ISBN: 9780199678112 | Machine brains & Human brains
(9780198777984) - First edition - Oxford University Press - OUP Oxford - Height: 205 mm - Spine width: 19 mm - Width: 159 mm - ISBN: 9780198777984 - Number of pages: 198 - Languages: English - Weight: 318 g
(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
(9780521642989)
(9781107057135 / 40812298) - Country of publication: UNITED KINGDOM - Dimensions: (H) 261mm, (W) 184mm, (D) 27mm - Height: 186 mm - Spine width: 29 mm - Width: 261 mm - Cambridge University Press - xvi, 397
(9780387848570) - Dimensions: 235 x 155 x 38 mm - Edition: 2nd ed. 2009, Corr. 9th printing 2017 - Format: 745 pages - ISBN: 9780387848570 - Number of pages: 745 - Languages: English - Publication place: New York, NY, United States
(9780718188757) - Popular science - Hardback - Michael Joseph - Penguin Books Ltd - In Print - Country of publication: UNITED KINGDOM - Dimensions: 180 x 120 x 8 mm - Height: 119mm - Spine width: 10mm | Artificial Intelligence
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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