Machine learning book
(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
(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
O′Reilly (9781492041658)
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.
Explore how algorithms turn data into insight with “Why Machines Learn.” Anil Ananthaswamy demystifies AI’s math, revealing the elegant logic that powers modern machine learning and data science.
(9781449369415 / 41752453) - Web programming - O'Reilly - xii, 376 - Sebastopol, United States - O'Reilly Media - Dimensions: 178 x 233 x 17.78mm | 589.67g - Format: 392 pages - Height: 180 mm - Spine width: 22 mm
Addison Wesley (9780134845623) - Height: 178 mm - Spine width: 28 mm - Width: 231 mm - Addison-Wesley - Pearson Education - ISBN: 9780134845623 - Number of pages: 420 - Languages: English - Weight: 914 g
Optimize business decisions with machine learning and economics in "Business Data Science" by Matt Taddy, available now in stores.
(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
(9781337795302) - Third edition - Delmar - Cengage Learning - Height: 283 mm - Spine width: 35 mm - Width: 220 mm - ISBN: 9781337795302 - Number of pages: 800 - Languages: English - Publication date: 03 Feb 2019
Explore Andy Clark’s “The Experience Machine,” a groundbreaking look at how our minds predict and shape reality through interactive learning simulations, blending neuroscience with philosophy.
O'Reilly Media (9781492044468) | Google BigQuery
Cambridge University Press (9781108480727) - Information theory - Cambridge University Press - ISBN: 9781108480727 - Pages: 594 pages
(9781491953242 / 26750659) - First edition - O'Reilly - O'Reilly Media - Height: 180 mm - Spine width: 18 mm - Width: 234 mm - ISBN: 9781491953242 - Number of pages: 218 - Languages: English - Weight: 402 g | Feature Engineering for Machine
Discover how machine learning will shape the next decade with "Artificial Intelligence" by Matthew Burgess, available in stores now.
Unlock the power of AI with *Machine Learning For Dummies* – a clear, hands‑on guide that breaks down complex concepts into everyday language, complete with practical examples and step‑by‑step tutorials for beginners.
(9780521518147 / 32699709) - Dimensions: 251 x 193 x 37 mm - Height: 247 mm - Spine width: 38 mm - Width: 195 mm - Cambridge University Press - ISBN: 9780521518147 - Number of pages: 697 - Languages: English | Framework of graphical
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