N-Gen Math 8: Bundle - 20

N-Gen Math 8: Bundle - 20

Author: Kirk Weiler

Publisher:

Published: 2021-10

Total Pages:

ISBN-13: 9781944719371

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Book Synopsis N-Gen Math 8: Bundle - 20 by : Kirk Weiler

Download or read book N-Gen Math 8: Bundle - 20 written by Kirk Weiler and published by . This book was released on 2021-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


N-Gen Math 8 Bundle - 20

N-Gen Math 8 Bundle - 20

Author: Kirk Weiler

Publisher:

Published: 2021-10

Total Pages:

ISBN-13: 9781944719401

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Book Synopsis N-Gen Math 8 Bundle - 20 by : Kirk Weiler

Download or read book N-Gen Math 8 Bundle - 20 written by Kirk Weiler and published by . This book was released on 2021-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


N-Gen Math 8

N-Gen Math 8

Author: Kirk Weiler

Publisher:

Published: 2020-06-30

Total Pages:

ISBN-13: 9781944719326

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Book Synopsis N-Gen Math 8 by : Kirk Weiler

Download or read book N-Gen Math 8 written by Kirk Weiler and published by . This book was released on 2020-06-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


N-Gen Math 6: Bundle-20

N-Gen Math 6: Bundle-20

Author: Kirk Weiler

Publisher:

Published: 2021-10

Total Pages:

ISBN-13: 9781944719623

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Book Synopsis N-Gen Math 6: Bundle-20 by : Kirk Weiler

Download or read book N-Gen Math 6: Bundle-20 written by Kirk Weiler and published by . This book was released on 2021-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


N-Gen Math 7 Bundle - 20

N-Gen Math 7 Bundle - 20

Author: Kirk Weiler

Publisher:

Published: 2021-10

Total Pages:

ISBN-13: 9781944719395

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Book Synopsis N-Gen Math 7 Bundle - 20 by : Kirk Weiler

Download or read book N-Gen Math 7 Bundle - 20 written by Kirk Weiler and published by . This book was released on 2021-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


Mathematics for Machine Learning

Mathematics for Machine Learning

Author: Marc Peter Deisenroth

Publisher: Cambridge University Press

Published: 2020-04-23

Total Pages: 392

ISBN-13: 1108569323

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.


Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.


General Mathematics

General Mathematics

Author:

Publisher:

Published: 1996

Total Pages: 772

ISBN-13:

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Book Synopsis General Mathematics by :

Download or read book General Mathematics written by and published by . This book was released on 1996 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Advanced Calculus

Advanced Calculus

Author: Lynn Harold Loomis

Publisher: World Scientific Publishing Company

Published: 2014-02-26

Total Pages: 596

ISBN-13: 9814583952

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An authorised reissue of the long out of print classic textbook, Advanced Calculus by the late Dr Lynn Loomis and Dr Shlomo Sternberg both of Harvard University has been a revered but hard to find textbook for the advanced calculus course for decades. This book is based on an honors course in advanced calculus that the authors gave in the 1960's. The foundational material, presented in the unstarred sections of Chapters 1 through 11, was normally covered, but different applications of this basic material were stressed from year to year, and the book therefore contains more material than was covered in any one year. It can accordingly be used (with omissions) as a text for a year's course in advanced calculus, or as a text for a three-semester introduction to analysis. The prerequisites are a good grounding in the calculus of one variable from a mathematically rigorous point of view, together with some acquaintance with linear algebra. The reader should be familiar with limit and continuity type arguments and have a certain amount of mathematical sophistication. As possible introductory texts, we mention Differential and Integral Calculus by R Courant, Calculus by T Apostol, Calculus by M Spivak, and Pure Mathematics by G Hardy. The reader should also have some experience with partial derivatives. In overall plan the book divides roughly into a first half which develops the calculus (principally the differential calculus) in the setting of normed vector spaces, and a second half which deals with the calculus of differentiable manifolds.


Book Synopsis Advanced Calculus by : Lynn Harold Loomis

Download or read book Advanced Calculus written by Lynn Harold Loomis and published by World Scientific Publishing Company. This book was released on 2014-02-26 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authorised reissue of the long out of print classic textbook, Advanced Calculus by the late Dr Lynn Loomis and Dr Shlomo Sternberg both of Harvard University has been a revered but hard to find textbook for the advanced calculus course for decades. This book is based on an honors course in advanced calculus that the authors gave in the 1960's. The foundational material, presented in the unstarred sections of Chapters 1 through 11, was normally covered, but different applications of this basic material were stressed from year to year, and the book therefore contains more material than was covered in any one year. It can accordingly be used (with omissions) as a text for a year's course in advanced calculus, or as a text for a three-semester introduction to analysis. The prerequisites are a good grounding in the calculus of one variable from a mathematically rigorous point of view, together with some acquaintance with linear algebra. The reader should be familiar with limit and continuity type arguments and have a certain amount of mathematical sophistication. As possible introductory texts, we mention Differential and Integral Calculus by R Courant, Calculus by T Apostol, Calculus by M Spivak, and Pure Mathematics by G Hardy. The reader should also have some experience with partial derivatives. In overall plan the book divides roughly into a first half which develops the calculus (principally the differential calculus) in the setting of normed vector spaces, and a second half which deals with the calculus of differentiable manifolds.


Common Core Geometry

Common Core Geometry

Author: Kirk Weiler

Publisher:

Published: 2018-04

Total Pages:

ISBN-13: 9781944719234

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Book Synopsis Common Core Geometry by : Kirk Weiler

Download or read book Common Core Geometry written by Kirk Weiler and published by . This book was released on 2018-04 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


Introduction to Probability

Introduction to Probability

Author: Joseph K. Blitzstein

Publisher: CRC Press

Published: 2014-07-24

Total Pages: 599

ISBN-13: 1466575573

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Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.


Book Synopsis Introduction to Probability by : Joseph K. Blitzstein

Download or read book Introduction to Probability written by Joseph K. Blitzstein and published by CRC Press. This book was released on 2014-07-24 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.