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.

Singapore Math, Grade 2
Singapore Math, Grade 2

Author: Thinking Kids

Publisher: Carson-Dellosa Publishing

Published: 2015-01-05

Total Pages: 260

ISBN-13: 1483813185

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Singapore Math creates a deep understanding of each key math concept, is a direct complement to the current textbooks used in Singapore,includes an introduction explaining the Singapore Math method, and includes step-by-step solutions in the answer key. Singapore Math, for students in grades 2 to 5, provides math practice while developing analytical and problem-solving skills. Learning objectives are provided to identify what students should know after completing each unit, and assessments are included to ensure that learners obtain a thorough understanding of mathematical concepts. Perfect as a supplement to classroom work, these workbooks will boost confidence in problem-solving and critical-thinking skills!