A Gentle Introduction to the Art of Mathematics, Version 3. 0

A Gentle Introduction to the Art of Mathematics, Version 3. 0
Author: Joe Fields
Publisher:
Total Pages: 466
Release: 2012-12-18
Genre:
ISBN: 9781480220669

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GIAM (a Gentle Introduction to the Art of Mathematics) is a free, open-source textbook -- the current version is 3.0. GIAM covers several topics in the foundations of mathematics (logic, sets, relations, functions and cardinality) and introduces the reader to many techniques of mathematical proof (direct, indirect, contradiction, contrapositive, mathematical induction, combinatorial proofs and magic).


A Gentle Introduction to the Art of Mathematics, Version 3. 0
Language: en
Pages: 466
Authors: Joe Fields
Categories:
Type: BOOK - Published: 2012-12-18 - Publisher:

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GIAM (a Gentle Introduction to the Art of Mathematics) is a free, open-source textbook -- the current version is 3.0. GIAM covers several topics in the foundati
A Gentle Introduction to the Art of Mathematics, Version 3. 1SN
Language: en
Pages: 438
Authors: Joe Fields
Categories:
Type: BOOK - Published: 2014-01-08 - Publisher:

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A Gentle Introduction to the Art of Mathematics (GIAM for short) is a textbook for a "transitions" course.Transitions courses (also known as "foundations" or "i
A Gentle Introduction to the Art of Mathematics, Version 3. 1N
Language: en
Pages: 438
Authors: Joe Fields
Categories:
Type: BOOK - Published: 2014-01-08 - Publisher:

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A Gentle Introduction to the Art of Mathematics (GIAM for short) is a textbook for a "transitions" course.Transitions courses (also known as "foundations" or "i
The Gentle Art of Mathematics
Language: en
Pages: 162
Authors: Dan Pedoe
Categories: Science
Type: BOOK - Published: 2012-12-27 - Publisher: Courier Corporation

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This lighthearted work uses a variety of practical applications and puzzles to take a look at today's mathematical trends. In nine chapters, Professor Pedoe cov
Mathematics for Machine Learning
Language: en
Pages: 392
Authors: Marc Peter Deisenroth
Categories: Computers
Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti