Mining of Massive Datasets


Anand Rajaraman - 2011
    This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.

The Hundred-Page Machine Learning Book


Andriy Burkov - 2019
    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

Embarrassment: And the Emotional Underlife of Learning


Thomas Newkirk - 2017
    Michael G. Thompson, coauthor of Raising CainEmbarrassment. None of us escape it. Especially as kids, in school. How might our fear of failure, of not living up to expectations, be holding us back? How can our fear of embarrassment affect how we learn, how we teach, and how we live? Tom Newkirk argues that this emotional underlife, this subterranean domain of emotion, failure, and embarrassment, keeps too many students and teachers silent, hesitant, and afraid. I am absolutely convinced, Tom writes, that embarrassment is not only the true enemy of learning, but of so many other actions we could take to better ourselves. In this groundbreaking exploration, Newkirk offers practices and strategies that help kids and teachers alike develop a more resilient approach to embarrassment. I contend that if we can take on a topic like embarrassment and shame, we can come to a richer, more honest, more enabling sense of who we are and what we can do, he explains. So let's do battle. Let's name and identify the enemy that can haunt our days, disturb our sleep, put barriers up to learning, and drain joy from our lives-and maybe we can also learn how to rearrange some things in our own head so that we can be more generous toward ourselves.

Data Analysis Using SQL and Excel


Gordon S. Linoff - 2007
    This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.

The Midrange Theory


Seth Partnow - 2021
    But what is a “good” shot? Are all good shots created equally? And how might one identify players who are more or less likely to make and prevent those shots in the first place? The concept of basketball “analytics,” for lack of a better term, has been lauded, derided, and misunderstood. The incorporation of more data into NBA decision-making has been credited—or blamed—for everything from the death of the traditional center to the proliferation of three-point shooting to the alleged abandonment of the area of the court known as the midrange. What is beyond doubt is that understanding its methods has never been more important to watching and appreciating the NBA. In The Midrange Theory, Seth Partnow, NBA analyst for The Athletic and former Director of Basketball Research for the Milwaukee Bucks, explains how numbers have affected the modern NBA game, and how those numbers seek not to “solve” the game of basketball but instead urge us toward thinking about it in new ways.The relative value of Russell Westbrook’s triple-doublesWhy some players succeed in the playoffs while others don’tHow NBA teams think about constructing their rosters through the draft and free agencyThe difficulty in measuring defensive achievementThe fallacy of the “quick two”From shot selection to evaluating prospects to considering aesthetics and ethics while analyzing the box scores, Partnow deftly explores where the NBA is now, how it got here, and where it might be going next.

An Introduction to Statistical Learning: With Applications in R


Gareth James - 2013
    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.

Preventing Misguided Reading: New Strategies for Guided Reading Teachers


Jan Miller Burkins - 2010
    Burkins and Croft help teachers prevent guided reading from going astray by presenting strategies, adaptations, and supports that help them work through common instructional problems.

The Power of Moments: Why Certain Experiences Have Extraordinary Impact


Chip Heath - 2017
    If we embrace these elements, we can conjure more moments that matter. What if a teacher could design a lesson that he knew his students would remember twenty years later? What if a manager knew how to create an experience that would delight customers? What if you had a better sense of how to create memories that matter for your children? This book delves into some fascinating mysteries of experience: Why we tend to remember the best or worst moment of an experience, as well as the last moment, and forget the rest. Why “we feel most comfortable when things are certain, but we feel most alive when they’re not.” And why our most cherished memories are clustered into a brief period during our youth. Readers discover how brief experiences can change lives, such as the experiment in which two strangers meet in a room, and forty-five minutes later, they leave as best friends. (What happens in that time?) Or the tale of the world’s youngest female billionaire, who credits her resilience to something her father asked the family at the dinner table. (What was that simple question?) Many of the defining moments in our lives are the result of accident or luck—but why would we leave our most meaningful, memorable moments to chance when we can create them? The Power of Moments shows us how to be the author of richer experiences.

Teaching Music with Passion: Conducting, Rehearsing and Inspiring


Hal Leonard Corporation - 2002
    Teaching Music with Passion is a one-of-a-kind, collective masterpiece of thoughts, ideas and suggestions about the noble profession of music education. Both inspirational and instructional, it will surely change the way you teach (and think) about music. Filled with personal experiences, anecdotes and wonderful quotations, this book is an easy-to-read, essential treasure! "One of the most 'real' writings I have read during my 35 years in music education." Mel Clayton, President, MENC: The National Association for Music Education Click here for a YouTube video on Teaching Music with Passion

Bayesian Data Analysis


Andrew Gelman - 1995
    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

Champs: A Proactive & Positive Approach to Classroom Management For Grades K-9


Randall S. Sprick - 1998
    Classroom management aide for teachers

The Read-Aloud Handbook


Jim Trelease - 1982
    Now this new edition of The Read-Aloud Handbook imparts the benefits, rewards, and importance of reading aloud to children of a new generation. Supported by delightful anecdotes as well as the latest research, The Read-Aloud Handbook offers proven techniques and strategies—and the reasoning behind them—for helping children discover the pleasures of reading and setting them on the road to becoming lifelong readers.

Role Reversal: Achieving Uncommonly Excellent Results in the Student-Centered Classroom


Mark Barnes - 2013
    A results-only classroom is rich with individual and cooperative learning activities that help students demonstrate mastery learning on their own terms, without being constrained by standards and pedagogy.By embracing results-only learning, you will be able to transform your classroom into a bustling community of learners in which?* Students collaborate daily on a number of long-term, ongoing projects.* Students receive constant narrative feedback.* Yearlong projects target learning outcomes more meaningfully than worksheets, homework, tests, and quizzes.* Freedom and independence are valued over punitive points, percentages, and letter grades.* Students manage themselves and all but eliminate the need for traditional classroom management.Learn how your students can take charge of their own achievement in an enjoyable, project-based, workshop setting that challenges them with real-world learning scenarios--and helps them attain uncommonly excellent results.

Best Practices in Literacy Instruction


Lesley Mandel Morrow - 2003
    The field's leading authorities present accessible recommendations for best practices that can be tailored to fit specific classroom circumstances and student populations. Provided are strategies for helping all students succeed—including struggling readers and English language learners—and for teaching each of the major components of literacy. The book also addresses ways to organize instruction and innovative uses of technology. Chapters include concrete examples, Engagement Activities, and resources for further learning. New to This Edition*Incorporates the latest research findings and instructional practices.*Chapters on motivation, content-area teaching, new literacies, and family literacy.*Addresses timely topics such as response to intervention, the new common core standards, English language learning, and policy issues.

But How Do You Teach Writing?: A Simple Guide for All Teachers


Barry Lane - 2008
    The book is divided into three parts: Out of the Gate contains easy ideas to help you get started, More Reasons to Write shows you how to teach across genre, both fiction and nonfiction writing, and Refining Writing addresses everything you need to know about revision, grammar, punctuation, and assessment. In every chapter you'll find two running features: 1) “Try This”, ready-to-use lessons for you and your students; and 2) “Yeah But” where Barry answers the real questions and concerns he's collected from teachers around the country.