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.

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.

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

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.

This is a textbook for students in departments of Aerospace, Electrical, and Mechanical Engineering, taking a course called Advanced Engineering Mathematics, Engineering Analysis, or Mathematics of Engineering. This text focuses on mathematical methods that are necessary for solving engineering problems. In addition to topics covered by competition, this book integrates the numerical computation programs MATLAB, Excel and Maple.New to this edition: Introduction of Maple, MATLAB, or Excel into each section and into problem sets New chapter on wavelets added