Well-known scholars in the field explore the important qualities and functions of English studies' constituent disciplines--Ellen Barton on linguistics and discourse analysis, Janice Lauer on rhetoric and composition, Katharine Haake on creative writing, Richard Taylor on literature and literary criticism, Amy Elias on critical theory and cultural studies, and Robert Yagelski on English education--and the productive differences and similarities among them that define English studies' continuing importance.Faculty and students in both undergraduate and graduate courses will find the volume an invaluable overview of an increasingly fragmented field, as will department administrators who are responsible for evaluating the contributions of diverse faculty members but whose academic training may be specific to one discipline.Each chapter of English Studies is an argument for the value--the right to equal status--of each individual discipline among all English studies disciplines, yet the book is also an argument for disciplinary integration.

    Contents include: 'Personality Theory in Context', 'Cognitive Personality Theories', 'An Introduction to Intelligence', 'The Application of Personality and Intelligence in Education and the Workplace', 'Optimism', 'Interpersonal Relationships' and 'Psychometric Testing'.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    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.

    They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

    It provides in-depth commentary on educational history, philosophy, and governance, while giving special attention to current critical topics such as the changing federal role in educational finance.

    In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God.Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.

    This six-session study helps you see why joy is important, move into the woman God calls you to be, and find joy even in the tough times"--

    It examines general patterns of human behavior in age-graded periods, sources of diversity in life course trajectories, and unique life stories. It is multidimensional in scope and current in theory and research. This completely revised second edition maintains the use of case studies to help students appreciate the diversity of life course trajectories, and all chapters have been updated to reflect social trends and new developments in theory and research. To reflect the trend toward finer gradations in life phases, this edition addresses nine age-graded periods instead of the six presented in the first edition: Conception, Pregnancy, and Birth; Infancy and Toddlerhood; Early Childhood; Middle Childhood; Adolescence; Young Adulthood; Middle Adulthood; Late Adulthood; and Very Late Adulthood. The Changing Life Course is the companion volume to Person and Environment (ISBN 0-7619-8765-7). The two volumes are also available as a Two-Volume Kit (ISBN 0-7619-8803-3). An Instructor′s Manual containing chapter summaries, suggested classroom activities and discussions, and essay and multiple choice questions is also available (ISBN: 0-7619-8804-1).

    The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts which are set in abstract settings.

    Few composers write more than one or two symphonies in their lifetimes. Beethoven spent a year on his shorter symphonies but more than six years on his 9th Symphony. But Georg Philipp Telemann composed at least 200 overtures in a two-year period. Over his lifetime Telemann's oeuvre consists of more than 3,000 pieces, although “only” 800 survive to this day. He was not the only person whose productivity defied all reason. Greek scientist Archimedes discovered mathematical phenomena that weren't confirmed for 17 centuries. Isaac Newton invented classical physics and was one of the inventors of calculus. Benjamin Franklin wrote, published, politicked, invented, experimented, and humored, sometimes all at the same time. Theodore Roosevelt was the first American to earn a belt in judo, hunted, wrote numerous books, and read four hours a day, even during the busiest moments of his political life. This book will explore the lives of the 18 most productive people in history. We will look at the cultures into which they were born and see the methods that they used to achieve such sweeping results. Perhaps we can also create enough time to focus on the tasks in life that are truly meaningful.

    Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible. Files for the entire book are freely available at openintro.org, and anybody can purchase a paperback copy from amazon.com for under $10.The future for OpenIntro depends on the involvement and enthusiasm of our community. Visit our website, openintro.org. We provide free course management tools, including an online question bank, utilities for creating course quizzes, and many other helpful resources.CERTAIN CONTENT THAT APPEARS ON THIS SITE COMES FROM AMAZON SERVICES LLC. THIS CONTENT IS PROVIDED ‘AS IS’ AND IS SUBJECT TO CHANGE OR REMOVAL AT ANY TIME.Can’t find it here? Search Amazon.com Search: All Products Apparel & AccessoriesBabyBeautyBooksCamera & PhotoCell Phones & ServiceClassical MusicComputersComputer & Video GamesDVDElectronicsGourmet FoodHome & GardenMiscellaneousHealth & Personal CareJewelry & WatchesKitchen & HousewaresMagazine SubscriptionsMusicMusical InstrumentsSoftwareSports & OutdoorsTools & HardwareToys & GamesVHS Keywords:

    It's not intended to replace manufacturer's or user's manuals, but rather complements and expands on the information contained in these materials. All topics are covered in small segments. Students systematically carry out a wide range of generic programming exercises and assignments. All of the information about PLCs has been updated.

    The author writes in a conversational, humorous manner as he offers his own anecdotes and reflections to help readers uncover their professional impact and foster productive, heart-centered classrooms and schools.Part 1 addresses Happiness having passion, purpose, and a positive impact in education. In part 2, Engagements, readers explore the engagement teachers must have in their work to put forth the needed energy and effort. Part 3, Alliances, asks readers to be open to forming alliances with their fellow educators so they can collaborate effectively. Next, part 4, Risk Taking, demonstrates for readers why teachers should engage in vision-focused risk taking to create sustainable change in their schools. Finally, part 5, Thought, focuses on the knowledge capacity educators should have to fulfill the heart of the teaching profession.BenefitsExamine five unique HEART aspects of your professional life: Happiness, Engagement, Alliances, Risk, and Thought. Examine your distinctive heartprint as an educator and the magnified impact your professional life has on students and colleagues.Gain wisdom and inspirational insights for your work life from Dr. Kanold as well as dozens of thought leaders and researchers inside and outside of the educational profession. Take advantage of the opportunity to connect your professional life to each chapter and embed your personal and professional story into the book. Use the book as part of a professional group book study with your colleagues and friends at your school.Connect and reconnect to the emotion, passion, energy, growth, and collaborative intimacy expected when you choose to become part of the education profession. ContentsPart 1: Developing HEART H Is for HappinessPart 2: Developing HEART E Is for EngagementPart 3: Developing HEART A Is for AlliancesPart 4: Developing HEART R Is for RiskPart 5: Developing HEART T Is for ThoughtClean CSS files are essential for an optimized website. Free online tool by HTML Cleaner."