Mathematics for Machine Learning PDF Download
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Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
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Book Description
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.
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
Get Book Here
Book Description
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.
Author: I. N. Herstein
Publisher: John Wiley & Sons
ISBN: 0471010901
Category : Mathematics
Languages : en
Pages : 405
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Book Description
New edition includes extensive revisions of the material on finite groups and Galois Theory. New problems added throughout.
![Exercises in arithmetic. [With] Answers PDF](https://books.google.com/books/content/images/frontcover/WuyWFLU-8pAC?fife=w80-h100)
Author: Stewart W. and co
Publisher:
ISBN:
Category :
Languages : en
Pages : 144
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Book Description
Author: K. F. Riley
Publisher: Cambridge University Press
ISBN: 1139491970
Category : Science
Languages : en
Pages : 223
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Book Description
This Student Solution Manual provides complete solutions to all the odd-numbered problems in Foundation Mathematics for the Physical Sciences. It takes students through each problem step-by-step, so they can clearly see how the solution is reached, and understand any mistakes in their own working. Students will learn by example how to arrive at the correct answer and improve their problem-solving skills.
Author: James Wharton (M.A., M.C.P.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 460
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Book Description
Author: Qing Liu
Publisher: Oxford University Press
ISBN: 0191547808
Category : Mathematics
Languages : en
Pages : 593
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Book Description
This book is a general introduction to the theory of schemes, followed by applications to arithmetic surfaces and to the theory of reduction of algebraic curves. The first part introduces basic objects such as schemes, morphisms, base change, local properties (normality, regularity, Zariski's Main Theorem). This is followed by the more global aspect: coherent sheaves and a finiteness theorem for their cohomology groups. Then follows a chapter on sheaves of differentials, dualizing sheaves, and Grothendieck's duality theory. The first part ends with the theorem of Riemann-Roch and its application to the study of smooth projective curves over a field. Singular curves are treated through a detailed study of the Picard group. The second part starts with blowing-ups and desingularisation (embedded or not) of fibered surfaces over a Dedekind ring that leads on to intersection theory on arithmetic surfaces. Castelnuovo's criterion is proved and also the existence of the minimal regular model. This leads to the study of reduction of algebraic curves. The case of elliptic curves is studied in detail. The book concludes with the funadmental theorem of stable reduction of Deligne-Mumford. The book is essentially self-contained, including the necessary material on commutative algebra. The prerequisites are therefore few, and the book should suit a graduate student. It contains many examples and nearly 600 exercises.
Author: Katherine Hannon
Publisher: Master Books
ISBN: 9781683442325
Category : Mathematics
Languages : en
Pages : 416
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Book Description
Algebra doesn't have to consist of solving hundreds of apparently meaningless problems! These worksheets, while they include abstract problems to help the student practice the skills, also include real-life problems that allow the student to remember the purpose of what they're learning, give them a chance to explore God's handiwork, and equip them to apply math outside of a textbook.Easy-to-use daily scheduleCarefully graduated problems to help students learn the materialBuilt-in review of conceptsProblems that let the students apply algebra to real-life settingsPerforated pages to tear out and hand studentsChapter quizzes and quarter tests, along with a final exam
Author: Robert Henry Wright
Publisher:
ISBN:
Category : Coordinates, Trilinear
Languages : en
Pages : 174
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Book Description
Author: Richard Hiley
Publisher:
ISBN:
Category : Latin language
Languages : en
Pages : 214
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Book Description
![The School Euclid [Books 1-4] ... By A. K. Isbister. New Edition, Enlarged and Improved PDF](https://books.google.com/books/content/images/frontcover/T3laAAAAcAAJ?fife=w80-h100)
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 204
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Book Description
