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:
Publisher:
ISBN:
Category :
Languages : en
Pages : 524
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Book Description
Author:
Publisher:
ISBN:
Category : Military art and science
Languages : en
Pages : 488
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Book Description
"Perhaps to a greater extent than any other army, the German Armed Forces employ military abbreviations on their maps and charts, on task force tables of organization, on direction and location sign posts in combat zones, on field orders, and, in short, in every case where abbreviations may possibly be used. These abbreviations are often used in connection with military symbols (see German Military Symbols, January 1943, Military Intelligence Service). A thorough knowledge of both abbreviations and symbols is therefore essential to military personnel engaged in the interpretation of captured documents."--Page 1.
Author: Fred Herbert Colvin
Publisher:
ISBN:
Category : Machinery
Languages : en
Pages : 1108
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Book Description
Author: Joseph K. Blitzstein
Publisher: CRC Press
ISBN: 1466575573
Category : Mathematics
Languages : en
Pages : 599
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Book Description
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.
Author: Marshall Berman
Publisher: Verso
ISBN: 9780860917854
Category : History
Languages : en
Pages : 388
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Book Description
The experience of modernization -- the dizzying social changes that swept millions of people into the capitalist world -- and modernism in art, literature and architecture are brilliantly integrated in this account.
Author:
Publisher:
ISBN:
Category : English literature
Languages : en
Pages : 1232
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Book Description
Author: Andy Clark
Publisher: DIANE Publishing
ISBN: 1437903797
Category : Technology & Engineering
Languages : en
Pages : 248
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Book Description
Cover crops slow erosion, improve soil, smother weeds, enhance nutrient and moisture availability, help control many pests and bring a host of other benefits to your farm. At the same time, they can reduce costs, increase profits and even create new sources of income. You¿ll reap dividends on your cover crop investments for years, since their benefits accumulate over the long term. This book will help you find which ones are right for you. Captures farmer and other research results from the past ten years. The authors verified the info. from the 2nd ed., added new results and updated farmer profiles and research data, and added 2 chap. Includes maps and charts, detailed narratives about individual cover crop species, and chap. about aspects of cover cropping.
Author: United States. Bureau of the Census
Publisher:
ISBN:
Category : Aeronautics, Commercial
Languages : en
Pages : 662
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Book Description
Author: Hong Ho-Cheng
Publisher:
ISBN:
Category : Composite materials
Languages : en
Pages : 304
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Book Description
About conventional metal cutting theories and analysis, machining of composite materials, analysis of delamination during drilling, experiments of drilling, and acoustic emission monitoring.
