Burkov Andriy (209 results)

Paperback. Condition: Good. Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world: Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages. He succeeds well in choosing the topics - both theory and practice - that will be useful to practitioners, and for the reader who understands that this is the first 100 (or actually 150) pages you will read, not the last, provides a solid introduction to the field.Aur lien G ron, Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn and TensorFlow: The breadth of topics the book covers is amazing for just 100 pages (plus few bonus pages ). Burkov doesn't hesitate to go into the math equations: that's one thing that short books usually drop. I really liked how the author explains the core concepts in just a few words. The book can be very useful for newcomers in the field, as well as for old-timers who can gain from such a broad view of the field.Karolis Urbonas, Head of Data Science at Amazon: A great introduction to machine learning from a world-class practitioner.Chao Han, VP, Head of R&D at Lucidworks: I wish such a book existed when I was a statistics graduate student trying to learn about machine learning.Sujeet Varakhedi, Head of Engineering at eBay: Andriy's book does a fantastic job of cutting the noise and hitting the tracks and full speed from the first page.''Deepak Agarwal, VP of Artificial Intelligence at LinkedIn: A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time.''Gareth James, Professor of Data Sciences and Operations, co-author of the bestseller An Introduction to Statistical Learning, with Applications in R: I would highly recommend The Hundred-Page Machine Learning Book for both the beginner looking to learn more about machine learning and the experienced practitioner seeking to extend their knowledge base.…

Paperback. Condition: Very Good. Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world: Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages. He succeeds well in choosing the topics - both theory and practice - that will be useful to practitioners, and for the reader who understands that this is the first 100 (or actually 150) pages you will read, not the last, provides a solid introduction to the field.Aur lien G ron, Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn and TensorFlow: The breadth of topics the book covers is amazing for just 100 pages (plus few bonus pages ). Burkov doesn't hesitate to go into the math equations: that's one thing that short books usually drop. I really liked how the author explains the core concepts in just a few words. The book can be very useful for newcomers in the field, as well as for old-timers who can gain from such a broad view of the field.Karolis Urbonas, Head of Data Science at Amazon: A great introduction to machine learning from a world-class practitioner.Chao Han, VP, Head of R&D at Lucidworks: I wish such a book existed when I was a statistics graduate student trying to learn about machine learning.Sujeet Varakhedi, Head of Engineering at eBay: Andriy's book does a fantastic job of cutting the noise and hitting the tracks and full speed from the first page.''Deepak Agarwal, VP of Artificial Intelligence at LinkedIn: A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time.''Gareth James, Professor of Data Sciences and Operations, co-author of the bestseller An Introduction to Statistical Learning, with Applications in R: I would highly recommend The Hundred-Page Machine Learning Book for both the beginner looking to learn more about machine learning and the experienced practitioner seeking to extend their knowledge base.…

Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

paperback. Condition: As New. This book is in near-perfect condition, showing minimal signs of use. It has clean, crisp pages with no markings or highlighting, and the spine and cover are intact without any creases or wear. This book appears as if it has been barely touched and is virtually indistinguishable from a brand new book. Textbooks may not include supplemental items i.e. CDs, access codes etc.…

Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condition: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly. …

Paperback. Condition: Good. Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world: Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages. He succeeds well in choosing the topics - both theory and practice - that will be useful to practitioners, and for the reader who understands that this is the first 100 (or actually 150) pages you will read, not the last, provides a solid introduction to the field.Aur lien G ron, Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn and TensorFlow: The breadth of topics the book covers is amazing for just 100 pages (plus few bonus pages ). Burkov doesn't hesitate to go into the math equations: that's one thing that short books usually drop. I really liked how the author explains the core concepts in just a few words. The book can be very useful for newcomers in the field, as well as for old-timers who can gain from such a broad view of the field.Karolis Urbonas, Head of Data Science at Amazon: A great introduction to machine learning from a world-class practitioner.Chao Han, VP, Head of R&D at Lucidworks: I wish such a book existed when I was a statistics graduate student trying to learn about machine learning.Sujeet Varakhedi, Head of Engineering at eBay: Andriy's book does a fantastic job of cutting the noise and hitting the tracks and full speed from the first page.''Deepak Agarwal, VP of Artificial Intelligence at LinkedIn: A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time.''Gareth James, Professor of Data Sciences and Operations, co-author of the bestseller An Introduction to Statistical Learning, with Applications in R: I would highly recommend The Hundred-Page Machine Learning Book for both the beginner looking to learn more about machine learning and the experienced practitioner seeking to extend their knowledge base.…

Paperback. Condition: Very Good. Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world: Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages. He succeeds well in choosing the topics - both theory and practice - that will be useful to practitioners, and for the reader who understands that this is the first 100 (or actually 150) pages you will read, not the last, provides a solid introduction to the field.Aur lien G ron, Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn and TensorFlow: The breadth of topics the book covers is amazing for just 100 pages (plus few bonus pages ). Burkov doesn't hesitate to go into the math equations: that's one thing that short books usually drop. I really liked how the author explains the core concepts in just a few words. The book can be very useful for newcomers in the field, as well as for old-timers who can gain from such a broad view of the field.Karolis Urbonas, Head of Data Science at Amazon: A great introduction to machine learning from a world-class practitioner.Chao Han, VP, Head of R&D at Lucidworks: I wish such a book existed when I was a statistics graduate student trying to learn about machine learning.Sujeet Varakhedi, Head of Engineering at eBay: Andriy's book does a fantastic job of cutting the noise and hitting the tracks and full speed from the first page.''Deepak Agarwal, VP of Artificial Intelligence at LinkedIn: A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time.''Gareth James, Professor of Data Sciences and Operations, co-author of the bestseller An Introduction to Statistical Learning, with Applications in R: I would highly recommend The Hundred-Page Machine Learning Book for both the beginner looking to learn more about machine learning and the experienced practitioner seeking to extend their knowledge base.…

paperback. Condition: Acceptable. Pages include notes, underlining, or highlighting.

paperback. Condition: Very Good.

Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condition: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly. …

Condition: acceptable. Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy.…

Paperback. Condition: Good.

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

paperback. Condition: Fine.

Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condition: good. Gently used with light wear to the cover, corners, or spine. Pages are clean and free of writing or highlighting. Binding is tight and fully intact. Dust jacket included with hardcover books. Ships fast in a protective poly mailerâ"Monday through Friday, excluding weekends and holidays.…

Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

paperback. Condition: Very Good.

Paperback. Condition: Good.