(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
(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
(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
(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
(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
(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
O′Reilly (9781492041658)
O′Reilly (9781492041658)
O′Reilly (9781492041658)
Packt Publishing (9781789955750)
(9781491937990 / 43422139)
(9781491937990 / 43422139)
(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
(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
(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
(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
(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
No Starch Press,US (9781593276713 / illustrations) - Dimensions: 178 x 234 x 10.16mm | 317.51g - Format: 160 pages - ISBN: 9781593276713 - Languages: English - San Francisco, United States - No Starch Press,US
Cengage Learning (9781285734828) - Edition: 3rd edition - Publication date: 02 Oct 2013 - Height: 219 mm - Spine width: 5 mm - Width: 279 mm - Wadsworth - Cengage Learning - ISBN: 9781285734828 - Number of pages: 144 | Functional Assessment
(9781491958865) - Height: 205mm - Spine width: 38mm - Width: 234mm - O'Reilly - O'Reilly Media - ISBN: 9781491958865 - Number of pages: 640 - Languages: English - Publication date: 12 Jan 2018 - Weight: 1154g
(9781138626782) - Edition: 1st edition - Publication date: 26 Sep 2017 - Height: 163mm - Spine width: 30mm - Width: 240mm - Chapman & Hall/CRC - Taylor and Francis - ISBN: 9781138626782 - Number of pages: 364
(9781138626782) - Edition: 1st edition - Publication date: 26 Sep 2017 - Height: 163mm - Spine width: 30mm - Width: 240mm - Chapman & Hall/CRC - Taylor and Francis - ISBN: 9781138626782 - Number of pages: 364
(9781680453744) - First edition - Maker Media - Maker Media, Inc - Height: 234mm - Spine width: 22mm - Width: 179mm - ISBN: 9781680453744 - Number of pages: 384 - Languages: English - Publication date: 30 Nov 2017
(9781337405713) - Edition: 6th edition - Publication date: 02 Jun - Height: 191 mm - Spine width: 29 mm - Width: 234 mm - Course Technology - Cengage Learning - ISBN: 9781337405713 - Number of pages: 672
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 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 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.
(9780134464541 / 9780134464541)
