Primary Mathematics: Teaching Theory and Practice
Primary Mathematics: Teaching Theory and Practice

Author: Claire Mooney

Publisher: Learning Matters

Published: 2018-02-12

Total Pages: 289

ISBN-13: 1526440792

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With full coverage of the theory and practice required for effective and creative mathematics teaching, this text is an essential guide for all trainees working towards QTS (Qualified Teacher Status).

Singapore Math Challenge, Grades 2 - 5
Singapore Math Challenge, Grades 2 - 5

Author: Frank Schaffer Publications

Publisher: Carson-Dellosa Publishing

Published: 2013-02-01

Total Pages: 354

ISBN-13: 1623990726

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Get ready to take the Math Challenge! Singapore Math Challenge will provide second grade students with skill-building practice based on the leading math program in the world, Singapore Math! Common Core Standards accelerate math expectations for all students, creating a need for challenging supplementary math practice. Singapore Math Challenge is the ideal solution, with problems, puzzles, and brainteasers that strengthen mathematical thinking. Step-by-step strategies are clearly explained for solving problems at varied levels of difficulty. A complete, worked solution is also provided for each problem. -- Singapore Math Challenge includes the tools and practice needed to provide a strong mathematical foundation and ongoing success for your students. The Common Core State Standards cite Singapore math standards as worldwide benchmarks for excellence in mathematics.

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

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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.

The Chemistry Maths Book
The Chemistry Maths Book

Author: Erich Steiner

Publisher: Oxford University Press

Published: 2008

Total Pages: 681

ISBN-13: 9780199205356

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"Topics are organized into three parts: algebra, calculus, differential equations, and expansions in series; vectors, determinants and matrices; and numerical analysis and statistics. The extensive use of examples illustrates every important concept and method in the text, and are used to demonstrate applications of the mathematics in chemistry and several basic concepts in physics. The exercises at the end of each chapter, are an essential element of the development of the subject, and have been designed to give students a working understanding of the material in the text."--BOOK JACKET.

Primary Mathematics
Primary Mathematics

Author:

Publisher:

Published: 2008

Total Pages: 0

ISBN-13: 9780761427407

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Based on the Primary Mathematics series from Singapore. Designed to equip students with a strong foundation in mathematics and critical thinking skills, the program offers an integrated solution to different learning needs in the classroom.