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Author : Phyl Haydock
Publisher :
ISBN 13 : 9781990015137
Total Pages : pages
Book Rating : 4.0/5 (151 download)
Download or read book Level 2 Mathematics and Statistics Externals Learning Workbook written by Phyl Haydock and published by . This book was released on 2020-11-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Phyl Haydock
Publisher :
ISBN 13 : 9780908315505
Total Pages : 182 pages
Book Rating : 4.3/5 (155 download)
Download or read book Level 2 Mathematics Externals Learning Workbook written by Phyl Haydock and published by . This book was released on 2015 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Rory Barrett
Publisher :
ISBN 13 : 9780947504168
Total Pages : 342 pages
Book Rating : 4.5/5 (41 download)
Download or read book Level 2 Mathematics and Statistics Learning Workbook written by Rory Barrett and published by . This book was released on 2018 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Phyl Haydock
Publisher :
ISBN 13 : 9781927297629
Total Pages : 238 pages
Book Rating : 4.2/5 (976 download)
Download or read book Level 1 Mathematics Externals Learning Workbook written by Phyl Haydock and published by . This book was released on 2014-08-01 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Covers the four externally assessed Level 1 Mathematics and Statistics Achievement Standards 1.2 (91027), 1.3 (91028), 1.6 (91031) and 1.12 (91037). It features brief notes, clear explanations, numerous worked examples and relevant exercises with answers. Use throughout the year to support classroom work, to help with internal assessments and to revise for end-of-year exams"--Publisher's website.
Author : Phyl Haydock
Publisher :
ISBN 13 : 9781877459085
Total Pages : pages
Book Rating : 4.4/5 (59 download)
Download or read book Year 10 Mathematics and Statistics Learning Workbook written by Phyl Haydock and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: For use in classroom programmes or for home study. Will cover all the skills needed to for Year 10 of the new Mathematics Curriculum. Features bite-sized sections of theory, numerous worked examples and relevant sets of exercises for student practice. Students write their answers in the workbook and all answers are given in the back of the book.
Author : Rory Barrett
Publisher :
ISBN 13 : 9781988548135
Total Pages : 128 pages
Book Rating : 4.5/5 (481 download)
Download or read book Level 2 Mathematics and Statistics AME Workbook written by Rory Barrett and published by . This book was released on 2018 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Covers the three external Mathematics and Statistics achievement standards ... This workbook has brief exam revision notes for end-of-year study, with examples and NCEA exam questions from 2017 and earlier years. Full answers with explanations and A, M or E grades are given"--Back cover.
Author : Phyl Haydock
Publisher :
ISBN 13 : 9781927194782
Total Pages : 302 pages
Book Rating : 4.1/5 (947 download)
Download or read book LWB NCEA Level 2 Achieving Maths Learning Workbook written by Phyl Haydock and published by . This book was released on 2013-07-01 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Covers the nine Level 2 Mathematics and Statistics internally assessed Standards 2.1, 2.3, 2.5, 2.8, 2.9 to 2.11, 2.13 and 2.14 and the external Standard 2.12"--Publisher information.
Author : Rory Barrett
Publisher :
ISBN 13 : 9781990038556
Total Pages : pages
Book Rating : 4.0/5 (385 download)
Download or read book Level 2 Mathematics and Statistics AME Workbook written by Rory Barrett and published by . This book was released on 2022-05-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Frances Hinchliffe
Publisher :
ISBN 13 : 9781988548449
Total Pages : pages
Book Rating : 4.5/5 (484 download)
Download or read book Level 3 Statistics Externals Learning Workbook written by Frances Hinchliffe and published by . This book was released on 2021-11-04 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Marc Peter Deisenroth
Publisher : Cambridge University Press
ISBN 13 : 1108569323
Total Pages : 392 pages
Book Rating : 4.1/5 (85 download)
Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Rory Barrett
Publisher :
ISBN 13 : 9780908315178
Total Pages : pages
Book Rating : 4.3/5 (151 download)
Download or read book AME NCEA Level 2 Mathematics and Statistics Workbook 2015 written by Rory Barrett and published by . This book was released on 2015-05 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Phyl Haydock
Publisher :
ISBN 13 : 9781988586618
Total Pages : pages
Book Rating : 4.5/5 (866 download)
Download or read book Level 2 Calculus 2.7 Learning Workbook written by Phyl Haydock and published by . This book was released on 2020-07-31 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Phyl Haydock
Publisher :
ISBN 13 : 9781927194935
Total Pages : 120 pages
Book Rating : 4.1/5 (949 download)
Download or read book Level 1 Mathematics and Statistics AME Workbook written by Phyl Haydock and published by . This book was released on 2013-06-01 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Updated for 2013. For exam revision and practising exam questions. Covers the four Level 1 External Mathematics Achievement Standards 1.2, 1.3, 1.6 and 1.12. Features brief revision notes, examples and questions from 2012 and 2011; earlier questions formatted for use in 2013. Answers have A, M and E grades"--From publisher.
Author : Gareth James
Publisher : Springer Nature
ISBN 13 : 3031387473
Total Pages : 617 pages
Book Rating : 4.0/5 (313 download)
Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Author : Iddo Gal
Publisher :
ISBN 13 : 9784274901584
Total Pages : 300 pages
Book Rating : 4.9/5 (15 download)
Download or read book The Assessment Challenge in Statistics Education written by Iddo Gal and published by . This book was released on 1997 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses conceptual and pragmatic issues in the assessment of statistical knowledge and reasoning skills among students at the college and precollege levels, and the use of assessments to improve instruction. It is designed primarily for academic audiences involved in teaching statistics and mathematics, and in teacher education and training. The book is divided in four sections: (I) Assessment goals and frameworks, (2) Assessing conceptual understanding of statistical ideas, (3) Innovative models for classroom assessments, and (4) Assessing understanding of probability.
Author : Michael J. Crawley
Publisher : John Wiley & Sons
ISBN 13 : 9780470515068
Total Pages : 953 pages
Book Rating : 4.5/5 (15 download)
Download or read book The R Book written by Michael J. Crawley and published by John Wiley & Sons. This book was released on 2007-06-13 with total page 953 pages. Available in PDF, EPUB and Kindle. Book excerpt: The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.
Author : Tilman M. Davies
Publisher : No Starch Press
ISBN 13 : 1593277792
Total Pages : 833 pages
Book Rating : 4.5/5 (932 download)
Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
