Big Ideas Math (Red) Resources by Chapter PDF Download
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Author: Big Ideas Learning, LLC
Publisher:
ISBN: 9781608400409
Category :
Languages : en
Pages :
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Book Description
Author: Big Ideas Learning, LLC
Publisher:
ISBN: 9781608400409
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Ron Larson
Publisher: National Geographic Learning
ISBN: 9781608401550
Category : Mathematics
Languages : en
Pages : 0
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Book Description
The Skills Review and Basic Skills Handbook provides examples and practice for on-level or below-level students needing additional support on a particular skill. This softbound handbook provides a visual review of skills for students who are struggling or in need of additional support.
Author:
Publisher: Houghton Mifflin
ISBN: 9781608404513
Category : Algebra
Languages : en
Pages : 0
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Book Description
Consistent with the philosophy of the Common Core State Standards and Standards for Mathematical Practice, the Big Ideas Math Student Edition provides students with diverse opportunities to develop problem-solving and communication skills through deductive reasoning and exploration. Students gain a deeper understanding of math concepts by narrowing their focus to fewer topics at each grade level. Students master content through inductive reasoning opportunities, engaging activites that provide deeper understanding, concise, stepped-out examples, rich, thought-provoking exercises, and a continual building on what has previously been taught.
Author:
Publisher:
ISBN: 9781608408528
Category :
Languages : en
Pages : 284
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Book Description
This student-friendly, all-in-one workbook contains a place to work through Explorations as well as extra practice workskeets, a glossary, and manipulatives. The Student Journal is available in Spanish in both print and online.
Author: Ron Larson
Publisher:
ISBN: 9781644325919
Category : Mathematics
Languages : en
Pages : 0
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Book Description
Author: Ron Larson
Publisher:
ISBN: 9781642086300
Category : Mathematics
Languages : en
Pages :
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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: Sullivan Associates Staff
Publisher:
ISBN: 9780844903958
Category :
Languages : en
Pages :
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Book Description
Author: Ron Larson
Publisher:
ISBN: 9781642451061
Category : Algebra
Languages : en
Pages : 654
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Book Description
Author: Ron Larson
Publisher:
ISBN: 9781608404636
Category :
Languages : en
Pages :
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Book Description
This student-friendly, all-in-one workbook contains a place to work through Activities, as well as extra practice workskeets, a glossary, and manipulatives. The Record and Practice Journal is available in Spanish in both print and online.
