Soon wielding syringes, this forty-something husband and father of two children becomes the doper next door.During his yearlong odyssey, Tilin is transformed. He becomes stronger, hornier, and aggressive. He wades into a subculture of doping physicians, real estate agents, and aging women who believe that Tilin’s type of legal “hormone replacement therapy” is the key to staying young—and he often agrees. He also lives with the price paid for renewed vitality, worrying about his health, marriage, and cheating ways as an amateur bike racer. And all along the way, he tells us what doping is really like—empowering and scary.

    The text incorporates activities and exercises for classroom use or for use by the researcher in preparing designs.

    In A New Culture of Learning, Doug Thomas and John Seely Brown pursue an understanding of how the forces of change, and emerging waves of interest associated with these forces, inspire and invite us to imagine a future of learning that is as powerful as it is optimistic. Typically, when we think of culture, we think of an existing, stable entity that changes and evolves over long periods of time. In A New Culture, Thomas and Brown explore a second sense of culture, one that responds to its surroundings organically. It not only adapts, it integrates change into its process as one of its environmental variables. By exploring play, innovation, and the cultivation of the imagination as cornerstones of learning, the authors create a vision of learning for the future that is achievable, scalable and one that grows along with the technology that fosters it and the people who engage with it. The result is a new form of culture in which knowledge is seen as fluid and evolving, the personal is both enhanced and refined in relation to the collective, and the ability to manage, negotiate and participate in the world is governed by the play of the imagination. Replete with stories, this is a book that looks at the challenges that our education and learning environments face in a fresh way. PRAISE FOR A NEW CULTURE OF LEARNING "A provocative and extremely important new paradigm of a 'culture of learning', appropriate for a world characterized by continual change. This is a must read for anyone interested in the future of education." James J. Duderstadt, President Emeritus, University of Michigan "Thomas and Brown are the John Dewey of the digital age." Cathy Davidson, Professor of Interdisciplinary Studies, Duke University "A New Culture of Learning may provide for the digital media and learning movement what Thomas Paine's Common Sense did for the colonists during the American Revolution- a straightforward, direct explanation of what we are fighting for and what we are fighting against." Henry Jenkins, Provost's Professor, USC "A New Culture of Learning is at once persuasive and optimistic - a combination that is all too rare, but that flows directly from its authors' insights about learning in the digital age. Pearls of wisdom leap from almost every page." Paul Courant, Dean of Libraries, University of Michigan "Brilliant. Insightful. Revolutionary." Marcia Conner, author of The New Social Learning "Douglas Thomas and John Seely Brown portray the new world of learning gracefully, vividly, and convincingly." Howard Gardner, Professor, Harvard Graduate School of Education "Thomas and Brown make it clear that education is too often a mechanistic, solo activity delivered to the young. It doesn't have to be that way-learning can be a messy, social, playful, embedded, constant activity. We would do well to listen to their message." Clay Shirky, author of Cognitive Surplus "Anyone who fears, as I do, that today's public schools are dangerously close to being irrelevant must read this book. The authors provide a road map-and a lifeline-showing how schools can prosper under the most difficult conditions. It is a welcome departure from all the school bashing." John Merrow, Education Correspondent, PBS NewsHour "American education is at a crossroads. By illuminating how play helps to transform both information networks and experimentation, and how collective inquiry unleashes the power of imagination, A New Culture of Learning provides an irresistible path to the future." Joel Myerson, Director, Forum for the Future of Higher Education.

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    This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.

    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 book will teach you about:* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data* Deep learning, a powerful set of techniques for learning in neural networksNeural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.

    DeKorne is a "psychonaut" exploring the "imaginal realms" through Personal experimentation and scholarly research. He guides the reader through the history and lore of psychotropic plants, with advice on how to handle the eerie "Entitles" one encounters in "hyperspace". Plants and covered include: Belladonna Alkaloids; Acid Amide; Mescaline; Ayahuasca; DMT from Plants; Psilocybin; and more.

    In a quick, easy read, you can take the main principles from White Fragility: Why It’s So Hard for White People to Talk About Racism! The phrase “white fragility” has grown into a term that many people have accepted and referenced when talking about the defensiveness and discomfort a white person feels when talking about race. The term, originally coined in a 2011 article by Robin DiAngelo, is now used in various articles, books, TV shows, and more. Although it’s commonly heard, not many people truly understand what it means. That’s why Robin DiAngelo wrote the book entitled White Fragility: Why it’s So Hard for White People to Talk About Racism. DiAngelo is an author, former professor, and lecturer with a PhD in Multicultural Education from the University of Washington in Seattle. For more than 20 years, she’s focused on racial justice and whiteness studies. Her book on white fragility is a culmination of everything she’s learned from her personal experiences, her studies, and her interactions with white people and people of color. Her book aims to create a dialogue about race despite the white fragility that Americans feel when confronted with that topic. The book, published in 2018, has gained strong reviews because it explores race in-depth and attempts to break down those walls that white people have built in order to protect themselves from acknowledging their race and the benefits it gives them in life. The book debuted on the New York Times Bestseller List. DiAngelo is the two-time winner of the Student’s Choice Award for Educator of the Year at the University of Washington’s School of Social Work. Aside from her White Fragility book, DiAngelo has numerous other publications and books under her belt. White Fragility: Why It's So Hard for White People to Talk About Racism is the #1 bestseller in the discrimination & racism category on Amazon. That’s because it’s a useful tool that can be used in classrooms, discussions, lectures, and more. For those not in an academic setting, it’s also simply just a book that people from all different cultures can learn from, as it aims to teach us all how we got to this point in society, why we have the racial biases we do, and how we can overcome white fragility in order to have meaningful relationships with people of color.

    Academic conversations push students to think and learn in lasting ways. Academic conversations are back-and-forth dialogues in which students focus on a topic and explore it by building, challenging, and negotiating relevant ideas.In Academic Conversations: Classroom Talk that Fosters Critical Thinking and Content Understandings authors Jeff Zwiers and Marie Crawford address the challenges teachers face when trying to bring thoughtful, respectful, and focused conversations into the classroom. They identify five core communications skills needed to help students hold productive academic conversation across content areas:Elaborating and ClarifyingSupporting Ideas with EvidenceBuilding On and/or Challenging IdeasParaphrasingSynthesizingThis book shows teachers how to weave the cultivation of academic conversation skills and conversations into current teaching approaches. More specifically, it describes how to use conversations to build the following:Academic vocabulary and grammarCritical thinking skills such as persuasion, interpretation, consideration of multiple perspectives, evaluation, and applicationLiteracy skills such as questioning, predicting, connecting to prior knowledge, and summarizingAn academic classroom environment brimming with respect for others' ideas, equity of voice, engagement, and mutual supportThe ideas in this book stem from many hours of classroom practice, research, and video analysis across grade levels and content areas. Readers will find numerous practical activities for working on each conversation skill, crafting conversation-worthy tasks, and using conversations to teach and assess. Academic Conversations offers an in-depth approach to helping students develop into the future parents, teachers, and leaders who will collaborate to build a better world.

    It covered jazz, of course, but it also included Davis’s ruminations on race, politics and culture. Fascinated, Hef sent the writer—future Pulitzer-Prize-winning author Alex Haley, an unknown at the time—back to glean even more opinion and insight from Davis. The resulting exchange, published in the September 1962 issue, became the first official Playboy Interview and kicked off a remarkable run of public inquisition that continues today—and that has featured just about every cultural titan of the last half century.To celebrate the Interview’s 50th anniversary, the editors of Playboy have culled 50 of its most (in)famous Interviews and will publish them over the course of 50 weekdays (from September 4, 2012 to November 12, 2012) via Amazon’s Kindle Direct platform. Here is the interview with the journalist Hunter S. Thompson from the November 1974 issue.

    Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

    This title is aimed at courses in applied econometrics, political methodology, and sociological methods or a one-year graduate course in econometrics for social scientists.

    Theory has been provided in points between each chapter for clarifying relevant basic concepts. The book consist four parts algebra and trigonometry, fundamentals of analysis, geometry and vector algebra and the problems and questions set during oral examinations. Each chapter consist topic wise problems. Sample examples are provided after each text for understanding the topic well. The fourth part "oral examination problems and question" includes samples suggested by the higher schools for the help of students. Answers and hints are given at the end of the book for understanding the concept well. About the Book: Problems in Mathematics with Hints and Solutions Contents: Preface Part 1. Algebra, Trigonometry and Elementary Functions Problems on Integers. Criteria for Divisibility Real Number, Transformation of Algebraic Expressions Mathematical Induction. Elements of Combinatorics. BinomialTheorem Equations and Inequalities of the First and the SecondDegree Equations of Higher Degrees, Rational Inequalities Irrational Equations and Inequalities Systems of Equations and Inequalities The Domain of Definition and the Range of a Function Exponential and Logarithmic Equations and Inequalities Transformations of Trigonometric Expressions. InverseTrigonometric Functions Solutions of Trigonometric Equations, Inequalities and Systemsof Equations Progressions Solutions of Problems on Derivation of Equations Complex Numbers Part 2. Fundamentals of Mathematical Analysis Sequences and Their Limits. An Infinitely Decreasing GeometricProgression. Limits of Functions The Derivative. Investigating the Behaviors of Functions withthe Aid of the Derivative Graphs of Functions The Antiderivative. The Integral. The Area of a CurvilinearTrapezoid Part 3. Geometry and Vector Algebra Vector Algebra Plane Geometry. Problems on Proof Plane Geometry. Construction Problems Plane Geometry. C

    A software diskette provides an easy-to-use tool for students to derive probabilities for binomial.