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Math Mystic's Guide to Creative Spirituality

Math Mystic's Guide to Creative Spirituality
Author: Sarah Voss
Publisher: Wipf and Stock Publishers
Total Pages: 314
Release: 2024-04-04
Genre: Religion
ISBN: 166674249X

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The Math Mystic’s Guide to Creative Spirituality is unique, provocative, engaging, and a masterpiece of philosophical and mystical exploration. It offers gourmet treats for those with spiritual hunger, a feast of innovative perspectives on building social collateral (trust, forgiveness, resilience . . .), and intellectual desserts for the mathematically inclined. User-friendly for the non-mathematician, the book also provides a smorgasbord of resources for those who want to know more about the math. Deeply personal but also scholarly, with an unprecedented use of mathematical metaphors, this book will appeal to mathematicians, scientists, teachers, philosophers, religious educators, and spiritual seekers of many persuasions. A math professor before becoming a Unitarian Universalist minister, the author has compiled herein a lifetime of creative study about the relationship between math and religion. She has pioneered ways to use mathematics to help clarify such spiritual ideas as God, fairness, equality, redemption, and the nature of things. In the process she coined the terms “matheology” and “mathaphor,” introduced the notion of math sermons, and has expanded the concept of moral math. This exciting collection of essays (with a little poetry as garnish) uses math as a language to nourish the spiritual heart of our global society.


Mathematics for Machine Learning

Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Total Pages: 392
Release: 2020-04-23
Genre: Computers
ISBN: 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.


Mathematicians of the World, Unite!

Mathematicians of the World, Unite!
Author: Guillermo Curbera
Publisher: CRC Press
Total Pages: 336
Release: 2009-02-23
Genre: Mathematics
ISBN: 1439865124

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This vividly illustrated history of the International Congress of Mathematicians- a meeting of mathematicians from around the world held roughly every four years- acts as a visual history of the 25 congresses held between 1897 and 2006, as well as a story of changes in the culture of mathematics over the past century. Because the congress is an int


International Books in Print

International Books in Print
Author:
Publisher:
Total Pages: 1332
Release: 1998
Genre: English imprints
ISBN:

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Bulletin of the Atomic Scientists

Bulletin of the Atomic Scientists
Author:
Publisher:
Total Pages: 104
Release: 1970-12
Genre:
ISBN:

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The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.


Advanced Calculus (Revised Edition)

Advanced Calculus (Revised Edition)
Author: Lynn Harold Loomis
Publisher: World Scientific Publishing Company
Total Pages: 595
Release: 2014-02-26
Genre: Mathematics
ISBN: 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.


Introductory Statistics

Introductory Statistics
Author: Openstax
Publisher:
Total Pages: 914
Release: 2022-03-23
Genre: Mathematics
ISBN: 9788565775120

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Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs. Senior Contributing Authors Barbara Illowsky, De Anza College Susan Dean, De Anza College Contributing Authors Daniel Birmajer, Nazareth College Bryan Blount, Kentucky Wesleyan College Sheri Boyd, Rollins College Matthew Einsohn, Prescott College James Helmreich, Marist College Lynette Kenyon, Collin County Community College Sheldon Lee, Viterbo University Jeff Taub, Maine Maritime Academy