Nelson Mathematics 4

Nelson Mathematics 4
Author:
Publisher:
Total Pages: 429
Release: 2004
Genre: Mathematics
ISBN: 9780176269111

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Grade 4 Student Book Math

Nelson Mathematics 4

Nelson Mathematics 4
Author: Heather Kelleher
Publisher: Thomson Nelson
Total Pages:
Release: 2005-01-01
Genre: Mathematics
ISBN: 9780176274498

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Nelson Mathematics 4

Nelson Mathematics 4
Author:
Publisher:
Total Pages: 429
Release: 2004
Genre: Mathematics
ISBN: 9780176201869

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Mathematics 4

Mathematics 4
Author: Mary Louise Kestell
Publisher:
Total Pages: 429
Release: 2004
Genre: Mathematics
ISBN: 9780176269111

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The Axiom of Choice

The Axiom of Choice
Author: Thomas J. Jech
Publisher: Courier Corporation
Total Pages: 226
Release: 2008-01-01
Genre: Mathematics
ISBN: 0486466248

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Comprehensive and self-contained text examines the axiom's relative strengths and consequences, including its consistency and independence, relation to permutation models, and examples and counterexamples of its use. 1973 edition.

Noise Sensitivity of Boolean Functions and Percolation

Noise Sensitivity of Boolean Functions and Percolation
Author: Christophe Garban
Publisher: Cambridge University Press
Total Pages: 223
Release: 2015
Genre: Computers
ISBN: 1107076439

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This is the first book to cover the theory of noise sensitivity of Boolean functions with particular emphasis on critical percolation.

Computer Organization and Architecture

Computer Organization and Architecture
Author: Stallings
Publisher: Pearson Education India
Total Pages: 800
Release: 2008-02
Genre:
ISBN: 9788177589931

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Nelson Socials 9 Flip Ebook 12 M Iac

Nelson Socials 9 Flip Ebook 12 M Iac
Author: Nelson Education Limited
Publisher:
Total Pages:
Release: 2020-07-28
Genre:
ISBN: 9780176939267

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Probability for Machine Learning

Probability for Machine Learning
Author: Jason Brownlee
Publisher: Machine Learning Mastery
Total Pages: 319
Release: 2019-09-24
Genre: Computers
ISBN:

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Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equations, Greek letters, and confusion, and discover the topics in probability that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of probability to machine learning, Bayesian probability, entropy, density estimation, maximum likelihood, and much more.