Green Mathematics Pre-Primer PDF Download

Author:
Publisher: Nageen Prakshan Pvt Ltd
ISBN: 9788189825676
Category :
Languages : en
Pages : 100

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Book Description

Author: John Fox
Publisher: SAGE
ISBN: 1412960800
Category : Social Science
Languages : en
Pages : 185

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Book Description
The ideal primer for students and researchers across the social sciences who wish to master the necessary maths in order to pursue studies involving advanced statistical methods

Author: ENGINEER GAURAV JAIN
Publisher: RITURAJ BOOKS
ISBN:
Category : Antiques & Collectibles
Languages : en
Pages : 64

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Book Description
A Math Pre-Primer book with bright colorful pictures and useful content like multiplication,subtraction,reverse counting,addition,etc..

Author: Dan Stefanica
Publisher:
ISBN: 9780979757624
Category : Business mathematics
Languages : en
Pages : 332

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Book Description

Author: BPI
Publisher: BPI Publishing
ISBN: 8184979789
Category : Mathematics
Languages : en
Pages : 89

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Book Description
Maths can be fun if the child can be taught to overcome early inhibitions and learn the secrets of doing sums quickly, without the benefit of pen and paper.

Author: Ken Doyle
Publisher:
ISBN: 9780855830984
Category : Mathematics
Languages : en
Pages : 76

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Book Description

Author: Judy Green
Publisher: American Mathematical Soc.
ISBN: 0821843761
Category : Biography & Autobiography
Languages : en
Pages : 371

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Book Description
"This book is the result of a study in which the authors identified all of the American women who earned PhD's in mathematics before 1940, and collected extensive biographical and bibliographical information about each of them. By reconstructing as complete a picture as possible of this group of women, Green and LaDuke reveal insights into the larger scientific and cultural communities in which they lived and worked." "The book contains an extended introductory essay, as well as biographical entries for each of the 228 women in the study. The authors examine family backgrounds, education, careers, and other professional activities. They show that there were many more women earning PhD's in mathematics before 1940 than is commonly thought." "The material will be of interest to researchers, teachers, and students in mathematics, history of mathematics, history of science, women's studies, and sociology."--BOOK JACKET.

Author: F. William Lawvere
Publisher: Cambridge University Press
ISBN: 0521894859
Category : Mathematics
Languages : en
Pages : 409

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Book Description
This truly elementary book on categories introduces retracts, graphs, and adjoints to students and scientists.

Author: Math-U-See
Publisher: Math-U-See
ISBN: 9781608260652
Category :
Languages : en
Pages :

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Book Description

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.