In Step Maths Workbook 3B Part 2
Author:
Publisher: Panpac Education Pte Ltd
Published:
Total Pages: 84
ISBN-13: 9789812719324
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Author:
Publisher: Panpac Education Pte Ltd
Published:
Total Pages: 84
ISBN-13: 9789812719324
DOWNLOAD EBOOKAuthor:
Publisher: Panpac Education Pte Ltd
Published:
Total Pages: 102
ISBN-13: 9789812732187
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Publisher: Panpac Education Pte Ltd
Published:
Total Pages: 76
ISBN-13: 9789812718327
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Publisher: Panpac Education Pte Ltd
Published:
Total Pages: 132
ISBN-13: 9789812718938
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Publisher: Panpac Education Pte Ltd
Published:
Total Pages: 84
ISBN-13: 9789812732170
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Publisher: Carson-Dellosa Publishing
Published: 2015-01-05
Total Pages: 256
ISBN-13: 1483818543
DOWNLOAD EBOOKSingapore Math creates a deep understanding of each key math concept, includes an introduction explaining the Singapore Math method, is a direct complement to the current textbooks used in Singapore, 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. This series is correlated to Singapore Math textbooks and creates a deep understanding of each key math concept. 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!
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Published: 2020-04-23
Total Pages: 392
ISBN-13: 1108569323
DOWNLOAD EBOOKThe 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: Jeanette Mumford
Publisher: HarperCollins UK
Published: 2021-06-14
Total Pages: 61
ISBN-13: 0008484279
DOWNLOAD EBOOKThe Busy Ant Maths Pupil Book 3B contains three levels of differentiated challenge built-in to each lesson as well as extra consolidation and extension activities to ensure rapid progression for every child.
Author: Singapore Math Inc.
Publisher:
Published: 2018
Total Pages:
ISBN-13: 9781947226227
DOWNLOAD EBOOKAuthor: Shirley Teo
Publisher:
Published: 2003
Total Pages: 112
ISBN-13: 9789812425331
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