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Author: Mary C. Cavanagh
Publisher: Great Source Education Group
ISBN: 9780669535976
Category : Mathematics
Languages : en
Pages : 0
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Book Description
A math resource for school and home.
Author: Mary C. Cavanagh
Publisher: Great Source Education Group
ISBN: 9780669535976
Category : Mathematics
Languages : en
Pages : 0
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Book Description
A math resource for school and home.
Author: Andrew Kaplan
Publisher:
ISBN: 9780669508185
Category : Mathematics
Languages : en
Pages : 0
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Book Description
C.1 COUNTY FUNDS. B & T. 11-07-2007. $30.50.
Author:
Publisher:
ISBN: 9780669481303
Category : Geometry
Languages : en
Pages : 0
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Book Description
Includes an almanac with math prefixes and suffixes, study tips, guidelines for using software, a graphing calculator, test-taking strategies and tables. For use with any math program.
Author:
Publisher:
ISBN: 9780669508161
Category : Mathematics
Languages : en
Pages : 0
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Book Description
This book provides the skills and strategies students need to be successful readers in many categories such as reading drama and reading graphics.
Author: Jordan Ellenberg
Publisher: Penguin
ISBN: 0143127535
Category : Mathematics
Languages : en
Pages : 482
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Book Description
“Witty, compelling, and just plain fun to read . . ." —Evelyn Lamb, Scientific American The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it. Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer? How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God. Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.
Author: Fletcher Dunn
Publisher: CRC Press
ISBN: 1568817231
Category : Computers
Languages : en
Pages : 848
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Book Description
This engaging book presents the essential mathematics needed to describe, simulate, and render a 3D world. Reflecting both academic and in-the-trenches practical experience, the authors teach you how to describe objects and their positions, orientations, and trajectories in 3D using mathematics. The text provides an introduction to mathematics for game designers, including the fundamentals of coordinate spaces, vectors, and matrices. It also covers orientation in three dimensions, calculus and dynamics, graphics, and parametric curves.
Author: Silvanus Phillips Thompson
Publisher:
ISBN:
Category : Calculus
Languages : en
Pages : 200
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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.
Author: Great Source
Publisher: Great Source Education Group
ISBN: 9780669500448
Category : Mathematics
Languages : en
Pages : 0
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Book Description
A resource book for math questions including definitions, procedures, explanations, and rules.
Author: Morris Kline
Publisher:
ISBN: 9781435108479
Category : Mathematics
Languages : en
Pages : 0
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Book Description
