In this compact guide, Rick Steves covers the best of Madrid and Toledo, including tips on arrival, orientation, and transportation. In Madrid, visit the masterpieces of the Prado Museum, and explore the Royal Palace. Or visit Toledo's vast Cathedral or Alcázar. You'll get Rick's firsthand advice on the best sights, eating, sleeping, and nightlife, and the maps and self-guided tours will ensure you make the most of your experience. More than just reviews and directions, a Rick Steves Snapshot guide is a tour guide in your pocket.Rick Steves Snapshot guides consist of excerpted chapters from Rick Steves European country guidebooks. Snapshot guides are a great choice for travelers visiting a specific city or region, rather than multiple European destinations. These slim guides offer all of Rick's up-to-date advice on what sights are worth your time and money. They include good-value hotel and restaurant recommendations, with no introductory information (such as overall trip planning, when to go, and travel practicalities).

    The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new 6th edition.

    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.

    This book helps you even the odds. Using easy-to-understand explanations and examples, it demystifies probability -- and even offers savvy tips to boost your chances of gambling success Discover how to* Conquer combinations and permutations* Understand probability models from binomial to exponential* Make good decisions using probability* Play the odds in poker, roulette, and other games

    Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

    With help from Dr. Seuss and Cookie Monster, she explains why numbers can’t be objective: in order to count, one must first decide what counts. Every number is the ending to a story built on cultural assumptions, social conventions, and personal judgments.And yet, in this age of big data and metric mania, numbers shape almost every facet of our lives: whether we get hired, fired, or promoted; whether we get into college or out of prison; how our opinions are gathered and portrayed to politicians; or how government designs health and safety regulations. In warm and playful prose, Counting explores what happens when we measure nebulous notions like merit, race, poverty, pain, or productivity.When so much rides on numbers, they can become instruments of social welfare, justice, and democracy—or not. The citizens of Flint, Michigan, for instance, used numbers to prove how their household water got contaminated and to force their government to take remedial action. In stark contrast, the Founding Fathers finessed an intractable conflict by counting each slave as three-fifths of a person in the national census. They set a terrible precedent for today’s politicians who claim to solve moral and political dilemmas with arithmetic.Suffused with moral reflection and ending with a powerful epilogue on COVID-19’s dizzying statistics, Counting will forever change our relationship with numbers.

    Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts. You get a firm grasp of the fundamentals and a hands-on understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easy-to-follow descriptions illustrated by graphics, formulas, and plenty of solved examples. Before you know it, you'll learn to apply statistical reasoning and statistical techniques, from basic concepts of probability and hypothesis testing to multivariate analysis. Organized into four distinct sections, Statistics in a Nutshell offers you:Introductory material: Different ways to think about statistics Basic concepts of measurement and probability theoryData management for statistical analysis Research design and experimental design How to critique statistics presented by others Basic inferential statistics: Basic concepts of inferential statistics The concept of correlation, when it is and is not an appropriate measure of association Dichotomous and categorical data The distinction between parametric and nonparametric statistics Advanced inferential techniques: The General Linear Model Analysis of Variance (ANOVA) and MANOVA Multiple linear regression Specialized techniques: Business and quality improvement statistics Medical and public health statistics Educational and psychological statistics Unlike many introductory books on the subject, Statistics in a Nutshell doesn't omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to over-emphasize calculation without teaching you when and how to apply different statistical tests. With Statistics in a Nutshell, you learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. If you need to know how to use a wide range of statistical techniques without getting in over your head, this is the book you want.

    Moss and Susan M. Brookhart contend that improving student learning and achievement happens in the immediacy of an individual lesson--what they call today's lesson--or it doesn't happen at all.The key to making today's lesson meaningful? Learning targets. Written from students' point of view, a learning target describes a lesson-sized chunk of information and skills that students will come to know deeply. Each lesson's learning target connects to the next lesson's target, enabling students to master a coherent series of challenges that ultimately lead to important curricular standards.Drawing from the authors' extensive research and professional learning partnerships with classrooms, schools, and school districts, this practical book- Situates learning targets in a theory of action that students, teachers, principals, and central-office administrators can use to unify their efforts to raise student achievement and create a culture of evidence-based, results-oriented practice. - Provides strategies for designing learning targets that promote higher-order thinking and foster student goal setting, self-assessment, and self-regulation. - Explains how to design a strong performance of understanding, an activity that produces evidence of students' progress toward the learning target. - Shows how to use learning targets to guide summative assessment and grading. Learning Targets also includes reproducible planning forms, a classroom walk-through guide, a lesson-planning process guide, and guides to teacher and student self-assessment.What students are actually doing during today's lesson is both the source of and the yardstick for school improvement efforts. By applying the insights in this book to your own work, you can improve your teaching expertise and dramatically empower all students as stakeholders in their own learning.

    

    Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

    Narrated by two "imperfect" sisters with "special" children, the book features a collection of entertaining and heartwarming stories from parents of children with a wide range of disabilities. It will have any parent laughing out loud and viewing the positive side of raising an "imperfect" child with humorous chapters like: Us vs. Them battle: "It's hard to hear about how good their kid is on the baseball field, when yours would rather catch real flies." Medication: "We've met parents who feel guilty for putting their kids on meds for not putting their kids on meds even for taking their kids' meds. ("That Ritalin really helped; you should have seen me organize those closets.") Food: "Yes, my daughter would like a Happy Meal. Just hold the meal and she'll be happy." Marriage: "You can remember the name of Beaver Cleaver's first grade teacher, but you can't remember the name of your child's disability?" Sports: "Do we have to follow the ball Mom? It's more fun following a bee!" Everyday life: "Sorry I missed the bus Mom; I was practicing funny faces in the mirror."

    This is why both teachers with struggling students and those with AP students have embraced the book through 15 printings. Each chapter is divided into two sections: concepts that show how professional writers develop their art and lesson strategies to implement these concepts in the classroom. New and expanded concepts in the second edition include:an introduction to grammatical chunksexpanded discussion of the five basic brush strokes and examination of advanced brush strokes presentation on the nonfiction modelexplanation of the character wheel-a visual aid that helps students to write both a nonfiction and fiction character sketch. Plus, the updated and expanded CD includes customizable files of the 60+ strategies; reproducible handouts; images and quotes for projection in the classroom; and dozens of weblinks.

    Eye-opening even for experienced faculty and administrators, this book reveals how the traditional college culture can actually pose obstacles to students' success, and suggests strategies for effectively explaining academic expectations.

    In Education Nation author Milton Chen draws from extensive experience in media-from his work on Sesame Street in its nascent years to his role as executive director of the George Lucas Educational Foundation-to support a vision for a new world of learning.This book, in six chapters, explores the "edges" in education--the places where K-12 learning has already seen revolutionary changes through innovative reform and the use of technology.Examines ways in which learning can be revolutionized through innovative reform and the use of technology Explores the ever-expanding world of technology for breakthroughs in teaching and learning Includes many wonderful resources to support innovation in schools across the nation This important book offers a clear vision for tomorrow's classrooms that will enhance learning opportunities for all children.