Addressing readers with both a general and scholarly interest in mathematics, Nahin weaves into this narrative entertaining historical facts, mathematical discussions, and the application of complex numbers and functions to important problems.

    In this first ever FoxTrot themed book, the best math, science, and other geek-worthy cartoons are collected for all of FoxTrot's many fans.

    What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM

    It is widely recognised as an invaluable reference for professionals training or working in health, education and social care.Features of this completely revised edition include:Charts describing key stages in the development of motor, perception, communication, play, independence and social skills, updated in the light of recent research and supported by over 120 illustrationsInformation on what we know about how children develop.A new section on the development of attention and self-regulationGuidelines for the assessment of children through observation and interactionAdvice on when to refer to specialist servicesGuidance is offered on ages at which children typically achieve key stages, whilst recognising individual variation in the rate of development and the influence of the child's environment. Based on an ethos of health promotion and the need for a common assessment framework, the book will be welcomed by all those who work with infants and young children.Dr Ajay Sharma is a Consultant Community Paediatrician in Southwark, LondonHelen Cockerill is a Consultant Speech and Language Therapist, working at the Evelina Children's Hospital in London.

    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, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. His innovative "proof idea" sections explain profound concepts in plain English. The new edition incorporates many improvements students and professors have suggested over the years, and offers updated, classroom-tested problem sets at the end of each chapter.

    Employing a methodology that is primarily learning by example and “thinking with our eyes,” this manual features graphs and practical analytical techniques that can be applied to a broad range of data analysis tools—including the most commonly used Microsoft Excel. This approach is particularly valuable to those who need to make sense of quantitative business data by discerning meaningful patterns, trends, relationships, and exceptions that reveal business performance, potential problems and opportunities, and hints about the future. It provides practical skills that are useful to managers at all levels and to those interested in keeping a keen eye on their business.

    The authors meticulously provide information gathered from their experiences working with schools, educational agencies, and organizations across the United States and Canada and show how school leaders can:Gain a personal understanding of what cultural proficiency means in practice Use collaborative activities to effect change in a school Lead a learning community toward becoming a culturally proficient organization

    In this thought-provoking book, the author presents a compelling case for why contemporary American educators are the greatest generation in history. He carefully explains why current national reform policies have failed and presents specific steps policymakers, administrators, and teachers must take to transform American schools to meet student needs in the 21st century.

    At a time when the poor math performance of American school children has labeled us a "nation of underachievers," what can parents--often themselves daunted by the mysteries of mathematics--do to help their children? In Games for Math, Peggy Kaye--teacher extraordinaire and author of the highly praised Games for Reading--gives parents more than fifty marvelous and effective ways to help their children learn math by doing just what kids love best: playing games.

    All children deserve classrooms that are calm, safe spaces where everyone is treated with dignity.Creating that space is one of the most important things a teacher needs to be able to do. But all too often teachers begin their careers with the bare minimum of training - or worse, none.How students behave, socially and academically, dictates whether or not they will succeed or struggle in school. Every child comes to the classroom with different skills, habits, values and expectations of what to do. There's no point just telling a child to behave; behaviour must be taught.Behaviour is a curriculum. This simple truth is the beginning of creating a classroom culture where everyone flourishes: pupils and staff.Running the Room is the teacher's guide to behaviour. Practical, evidence-informed, and based on the expertise of great teachers from around the world, it addresses the things teachers really need to know to build the classrooms children need.Bursting with strategies, tips and solid advice, it brings together the best of what we know and saves teachers, new or old, from reinventing the wheels of the classroom. It's the book teachers have been waiting for.

    KEY TOPICS: Learn research-based measures for reading improvement. Understand the relationship between reading instruction and assessment. Identify practical intervention strategies based on students' informal reading inventory results. Use viable writing strategies within the context of literacy intervention lessons. Address difficulties in word identification, fluency, prior knowledge and comprehension. Access lesson plans via an all new PDToolkit. MARKET: For reading specialists, K--12 literacy teachers and literacy coaches.

    . . if only for a little while.   In an age when it’s the rare child who walks to school on his own, the thought of sending your “little ones” off to sleep-away camp can be overwhelming—for you and for them. But parents’ first instinct—to shelter their offspring above all else—is actually depriving kids of the major developmental milestones that occur through letting them go—and watching them come back transformed.   In Homesick and Happy, renowned child psychologist Michael Thompson, PhD, shares a strong argument for, and a vital guide to, this brief loosening of ties. A great champion of summer camp, he explains how camp ushers your children into a thrilling world offering an environment that most of us at home cannot: an electronics-free zone, a multigenerational community, meaningful daily rituals like group meals and cabin clean-up, and a place where time simply slows down. In the buggy woods, icy swims, campfire sing-alongs, and daring adventures, children have emotionally significant and character-building experiences; they often grow in ways that surprise even themselves; they make lifelong memories and cherished friends. Thompson shows how children who are away from their parents can be both homesick and happy, scared and successful, anxious and exuberant. When kids go to camp—for a week, a month, or the whole summer—they can experience some of the greatest maturation of their lives, and return more independent, strong, and healthy.

    Offering an approach with a visual/graphical emphasis, this text offers a number of examples on the premise that students learn best by doing. This book features an emphasis on interpretation of results and critical thinking over calculations.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.