How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

    This process of introspection and self-reflection is never easy. It requires the ability to understand and handle your emotions in a healthy manner, and this always takes time and patience. That is why this book, “Emotional Intelligence: Exploring the Most Powerful Intelligence Ever Discovered,” has been written just for you. This book is meant to help make the process of emotional development clearer and smoother. Our lives are filled with constant and continual situations where communication with others is necessary. Your ability to communicate effectively and successfully with others is what sets you apart from animals. However, how many of us actually take the time to think about just how important the way we communicate is? In what ways can we become better able to communicate? This would be a good time to introduce you to the concept of emotional intelligence. Emotional intelligence, or EI, is defined as the ability to recognize, control, and express your emotions in a way that enables you to handle interpersonal relationships empathetically and judiciously. Emotional intelligence is what enables you to recognize how others are feeling in a given situation, differentiate the myriad of emotions, and act accordingly. It is only through emotional intelligence that we are able to adjust our emotions as we go through life, thus reaching whatever goals we have set. Nobody can claim that they do not have emotional intelligence. The only difference is that people exhibit varying levels of EI – some are simply more emotionally intelligent than others. However, it is not something that is fixed from birth to death. There are steps and actions you can take to become more intelligent emotionally. In fact, if there is one feature of personal development that most people need to work on, it is their emotional intelligence. Research has proven that those individuals who have a higher emotional quotient, or EQ, tend to make better leaders, enjoy a better quality of personal and professional relationships, and are more mentally healthy. All you need to do to increase your emotional quotient is take the time to put into practice the tips and strategies outlined in this book. In here, you will learn how to know yourself better so that you can understand others better. You will learn how your emotional brain works, and how emotional intelligence can be improved. There are some great tools and tips described in this book, so make sure that you are ready to learn and practice them. Get ready to also learn about some of the new discoveries in the field of emotional intelligence. Scroll to the top of this page and click the " Buy Now With One-Click " Button to start your journey on EI

    Why?In this book, I argue that the root of the problem is America’s religiosity. A crisis that only science could meet threatened to expose the impotence of religious claims, and religious leaders and institutions went on the attack. Any hope of a rational, scientifically informed response was crippled by a presidential administration elected by religious zealots, staffed by religious zealots, and beholden to religious zealots. But their malfeasance was not limited to the political arena.From churches ignoring state lock downs, to televangelists declaring the disease miraculously eradicated, to pastors suing their governors for enforcing public safety measures, religion was at the forefront of virtually every misguided step towards catastrophe that the nation took.When science eventually solves this problem, religions will be quick to thank their gods for the scientist’s labor and forgive themselves their trespasses. We cannot afford to give them such easy absolution. Their disastrous contributions to our national pandemic response are a potent reminder that a nation in the twenty-first century can ill afford to let anyone compete with science in the realm of truth.

    In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge. You'll also learn how to:Split problems into discrete components to make them easier to solve Make the most of code reuse with functions, classes, and libraries Pick the perfect data structure for a particular job Master more advanced programming tools like recursion and dynamic memory Organize your thoughts and develop strategies to tackle particular types of problems Although the book's examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer.

    He is also the Head Teaching Fellow for the most popular course at Harvard, “Positive Psychology,” which is taken by more than 1,000 students per semester and led by Professor Tal Ben-Shahar.  Shawn received his B.A. in English from Harvard and a Master’s from Harvard Divinity School in Christian and Buddhist Ethics. Part of his interest in positive psychology stems from a troubling fact: studies have shown that many of Harvard’s undergraduates suffer from depression at some point in their college careers. One Day University is a unique educational experience  that brings intellectuals together to learn from top rated professors at Yale, Harvard, Stanford, Columbia and other prestigious universities. Chosen for their excellent teaching abilities as rated by their students, these great thinkers represent a wide variety of academic disciplines and share their knowledge in 60 minute, highly entertaining lectures. Offering the ability to learn the highlights of academic thought in world affairs, politics, history, science, art, and more; One Day University is a way to truly enjoy the thrill of learning without the pressures of tests and the high price tag of college tuition. Once reserved only for students who could attend the lectures in New York and other major cities, One Day University courses are now available to everyone from the comfort of their own homes in Kindle format.

    The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your dataWonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language--one practical example at a time.--Jeffrey Ryan, software consultant and R package author

    

     By the time you finish this book you'll be able to do everything from checking your grammar, to creating an infographic, to driving free traffic to your blog or website, all using free tools, sites and downloads. The book contains links to all resources mentioned. A handy little reference guide you'll keep on your Kindle or other device to refer back to again and again.

    Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.

    Wife of a CEO, mother of three, living in a beautiful suburb, Sonja’s life appears ideal. How did she get here?In a gripping and breathtaking narrative that makes the reader feel as though they are listening in on a private conversation, Sonja tells the compelling real account of her struggle with marriage, motherhood, and mental illness.An Impossible Life is an unforgettable true story of perseverance when all hope seems lost. Intriguing and heartfelt, Sonja’s personal account of her mental health journey shines a beacon of hope to all who feel overwhelmed by the specter of mental illness.

    Can small artists still thrive in the Internet era? Can giant record labels avoid alienating their audiences? This is a book about the pitfalls and the opportunities that creative industries (and individuals) are confronting today — about how the old models have failed or found new footing, and about what might soon replace them. An essential read for anyone with a stake in the future of the arts, Information Doesn’t Want to Be Free offers a vivid guide to the ways creativity and the Internet interact today, and to what might be coming next.

    I've been there and have struggled with suicidal thoughts and plans. I can share with you what I did to not only survive, but to tolerate depression, live with it, and function acceptably most of the time, interspersed with periods of contentment, happiness, and joy. My strategies may well work for you. My goal is to save lives. The primary motivation for presenting my history is to encourage others who grapple with either chronic depression or occasional bouts. I hope my journey resonates with some, validates feelings, and sparks the thoughts "I'm not alone" and "I will feel better." This book can also help family members and friends of the mentally ill, and their caregivers, find compassion and enable them to understand the struggle. Transcending Depression differs from many other books on the topic in that it is not grounded in clinical experience, scientific research, or empirical evidence, which may make it more approachable than some. It's not a how-to book, not a model for depressed people to follow, not a toolbox. On the contrary, it shows rather than tells the reader what he or she might do to feel better. Appendices include my Depression Survival Guide, which offers 36 suggestions to bring relief, and Chess in the Labyrinth, a metaphor that compares defeating depression to winning a chess game.

    Based on the premise that what you do in a relationship makes changes faster than anything you discuss, Page introduces the concept of "Loving Leadership" and offers fourteen empowering and doable strategies for recapturing the positive feelings, including how to:Overcome resentment and move beyond blameSolve major problems--one at a timeRecapture lost intimacyStep-by-step, Page demonstrates that with tangible goals, and new ways of thinking, one partner can bring new levels of harmony and love to a relationship.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    A comprehensive guide to preparing for and hiking the Appalachian Trail