Connecting Math Concepts Level D, Workbook

Connecting Math Concepts Level D, Workbook

Author: McGraw-Hill

Publisher: McGraw-Hill Education

Published: 2013-02-14

Total Pages: 192

ISBN-13: 9780021036240

DOWNLOAD EBOOK

SRA Connecting Maths Concepts Comprehensive Edition has been revised for Levels A-F and students in Grades K-5. This program gives students who are at-risk of falling behind or who have already significantly fallen behind the chance to catch up and learn significant mathematics. New digital resources accompany the program including Practice Software, Board Displays and eBook Teacher Guides and Presentation Books.


Connecting Math Concepts Level A, Workbook 2

Connecting Math Concepts Level A, Workbook 2

Author: McGraw-Hill

Publisher: McGraw-Hill Education

Published: 2011-09-01

Total Pages: 128

ISBN-13: 9780021035731

DOWNLOAD EBOOK

SRA Connecting Maths Concepts Comprehensive Edition has been revised for Levels A-F and students in Grades K-5. This program gives students who are at-risk of falling behind or who have already significantly fallen behind the chance to catch up and learn significant mathematics. New digital resources accompany the program including Practice Software, Board Displays and eBook Teacher Guides and Presentation Books.


Spelling Mastery Level A, Student Workbook

Spelling Mastery Level A, Student Workbook

Author: McGraw Hill

Publisher: McGraw-Hill Education

Published: 2006-05-15

Total Pages: 0

ISBN-13: 9780076044818

DOWNLOAD EBOOK

Level A Spelling Mastery Student Workbook guides your students as they develop and master the spelling skills they need for educational success.


Mathematics for Machine Learning

Mathematics for Machine Learning

Author: Marc Peter Deisenroth

Publisher: Cambridge University Press

Published: 2020-04-23

Total Pages: 392

ISBN-13: 1108569323

DOWNLOAD EBOOK

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.


Mastering the Basic Math Facts in Multiplication and Division

Mastering the Basic Math Facts in Multiplication and Division

Author: Susan O'Connell

Publisher: Heinemann Educational Books

Published: 2011

Total Pages: 0

ISBN-13: 9780325029627

DOWNLOAD EBOOK

Presents an approach to teaching basic math facts to young students, featuring instructional strategies, tips, and classroom activities. Includes a CD-ROM with customizable activities, templates, recording sheets, and teacher tools.