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: KUPARALA VENKATA VIDYASAGAR
Publisher: Kuparala Venkata Vidyasagar
ISBN:
Category : Mathematics
Languages : en
Pages : 100
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Book Description
Department of Mathematics, SVLNS Government Degree College, Bheemunipatnam, Visakhapatnam District launching the book titled " Famous Website in Mathematics. This book is entirely a work of collection of websites useful to the research scholars as well as PG and UG students.
Author: Dr. Yogesh Chandna
Publisher: Dr. Yogesh Chandna
ISBN:
Category : Antiques & Collectibles
Languages : en
Pages : 79
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Book Description
Gift these books your kids, gift of knowledge. It helps to Eradicate fear of Mathematics completely. It helps to Learn School Maths Easy way. This book is for Children in Class 3/4/5 Standard (8-10 Years) Vedic Mathematics is a collection of Techniques/Sutras to solve mathematical arithmetics in easy and faster way. It consists of 16 Sutras (Formulae) and 13 sub-sutras (Sub Formulae) which can be used for problems involved in arithmetic, algebra, geometry, calculus, conics. Vedic mathematics, simplifies arithmetic and algebraic operations, and has increasingly found acceptance the world over. Vedic Mathematics helps find solutions in a single or a few steps where as conventional methods require multiple steps.
Author: Choubey K. R.
Publisher: Pearson Education India
ISBN: 9788131734148
Category : Geometry, Analytic
Languages : en
Pages : 448
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Book Description
Author: Dr. Yogesh Chandna
Publisher: Dr. Yogesh Chandna
ISBN:
Category : Antiques & Collectibles
Languages : en
Pages : 85
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Book Description
Vedic Mathematics is a collection of Techniques/Sutras to solve mathematical arithmetics in easy and faster way. It consists of 16 Sutras (Formulae) and 13 sub-sutras (Sub Formulae) which can be used for problems involved in arithmetic, algebra, geometry, calculus, conics. Vedic mathematics, simplifies arithmetic and algebraic operations, and has increasingly found acceptance the world over. Vedic Mathematics helps find solutions in a single or a few steps where as conventional methods require multiple steps. Vedic Mathematics eases and simplifies multiplication, divisibility, complex numbers, squaring, cubing, square and cube roots. Even recurring decimals and auxiliary fractions can be handled by Vedic Mathematics. Vedic Mathematics: Step by Step ,Written in simple language which is self explanatory & with lot of solved examples & sufficient exercises.
Author: S. K. Gupta & Anubhuti Gangal
Publisher: S. Chand Publishing
ISBN: 812193897X
Category : Science
Languages : en
Pages : 189
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Book Description
Key Concepts have been given at the beginning of each chapter to facilitate thorough revision and recall. Contains large number of Solved Examples and Practice Questions
Author: K.R. Choubey, Ravikant Choubey, Chandrakant Choubey
Publisher: Pearson Education India
ISBN: 9788131758687
Category :
Languages : en
Pages : 468
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Book Description
Author: N. P. Bali
Publisher: Laxmi Publications
ISBN: 9788170083658
Category : Engineering mathematics
Languages : en
Pages : 1438
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Book Description
Author: S. K. Gupta & Anubhuti Gangal
Publisher: S. Chand Publishing
ISBN: 8121938988
Category : Science
Languages : en
Pages : 297
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Book Description
Key Concepts have been given at the beginning of each chapter to facilitate thorough revision and recall. Contains large number of Solved Examples and Practice Questions
Author: Ram N. Mohapatra
Publisher: Springer
ISBN: 813221952X
Category : Mathematics
Languages : en
Pages : 366
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Book Description
This book discusses recent developments and contemporary research in mathematics, statistics and their applications in computing. All contributing authors are eminent academicians, scientists, researchers and scholars in their respective fields, hailing from around the world. The conference has emerged as a powerful forum, offering researchers a venue to discuss, interact and collaborate and stimulating the advancement of mathematics and its applications in computer science. The book will allow aspiring researchers to update their knowledge of cryptography, algebra, frame theory, optimizations, stochastic processes, compressive sensing, functional analysis, complex variables, etc. Educating future consumers, users, producers, developers and researchers in mathematics and computing is a challenging task and essential to the development of modern society. Hence, mathematics and its applications in computer science are of vital importance to a broad range of communities, including mathematicians and computing professionals across different educational levels and disciplines.
