Covey's eldest son comes a revolutionary new path towards productivity and satisfaction. Trust, says Stephen M.R. Covey, is the very basis of the new global economy, and he shows how trust—and the speed at which it is established with clients, employees and constituents —is the essential ingredient for any high–performance, successful organization. For business leaders and public figures in any arena, The Speed of Trust offers an unprecedented and eminently practical look at exactly how trust functions in our every transaction and relationship—from the most personal to the broadest, most indirect interaction—and how to establish trust immediately so that you and your organization can forego the time–killing, bureaucratic check–and–balance processes so often deployed in lieu of actual trust.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    It:Incorporates the "Business Model Canvas" as the organizing principle for startup hypothesesProvides separate paths and advice for web/mobile products versus physical productsOffers a wealth of detailed instruction on how to get, keep, and grow customers recognizing the different techniques for web and physical channelsAnd teaches a "new math" for startups: "metrics that matter for fueling growth"The Startup Owner's Manual is a step-by-step, near-encyclopedic reference manual or "how to" for building a successful, scalable startup. Want to know what to do the first, week, month or year?What's the right distribution channel for your product?How to get traffic to your web site? …and how to activate customers or users on arrival?Who are the right "first customers," and why? …plus many more great tips in nearly 500 pages, complete with index, glossary, and Customer Development ChecklistsIt's the indispensible reference guide for any startup founder, entrepreneur, investor or educator.

    Translated into twenty-three languages, it is one of the world's most widely read books on design. In this edition, Victor Papanek examines the attempts by designers to combat the tawdry, the unsafe, the frivolous, the useless product, once again providing a blueprint for sensible, responsible design in this world which is deficient in resources and energy.

    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.

    Now, they build on their message with a bold, iconoclastic strategy for creating the ideal company culture—what they call "the calm company." Their approach directly attack the chaos, anxiety, and stress that plagues millions of workplaces and hampers billions of workers every day.Long hours, an excessive workload, and a lack of sleep have become a badge of honor for modern professionals. But it should be a mark of stupidity, the authors argue. Sadly, this isn’t just a problem for large organizations—individuals, contractors, and solopreneurs are burning themselves out the same way. The answer to better productivity isn’t more hours—it’s less waste and fewer things that induce distraction and persistent stress.It’s time to stop celebrating Crazy, and start celebrating Calm, Fried and Hansson assert.Fried and Hansson have the proof to back up their argument. "Calm" has been the cornerstone of their company’s culture since Basecamp began twenty years ago. Destined to become the management guide for the next generation, It Doesn't Have to Be Crazy at Work is a practical and inspiring distillation of their insights and experiences. It isn’t a book telling you what to do. It’s a book showing you what they’ve done—and how any manager or executive no matter the industry or size of the company, can do it too.

    The predictable results: stress and conflict, frustration and exhaustion. Parents respond by reassuring themselves that at least the benefits outweigh the costs. But what if they don't? In The Homework Myth, nationally known educator and parenting expert Alfie Kohn systematically examines the usual defenses of homework--that it promotes higher achievement, "reinforces" learning, and teaches study skills and responsibility. None of these assumptions, he shows, actually passes the test of research, logic, or experience. So why do we continue to administer this modern cod liver oil -- or even demand a larger dose? Kohn's incisive analysis reveals how a mistrust of children, a set of misconceptions about learning, and a misguided focus on competitiveness have all left our kids with less free time and our families with more conflict. Pointing to parents who have fought back -- and schools that have proved educational excellence is possible without homework -- Kohn shows how we can rethink what happens during and after school in order to rescue our families and our children's love of learning.

    You'll find the latest methodologies for the design of effective test cases, including information on psychological and economic principles, managerial aspects, test tools, high-order testing, code inspections, and debugging. Accessible, comprehensive, and always practical, this edition provides the key information you need to test successfully, whether a novice or a working programmer. Buy your copy today and end up with fewer bugs tomorrow.

    In addition, the completely updated fifth edition shows you how to build trust and confidence, be an active listener, manage a diverse group of individuals, conduct performance appraisals, and address many other challenges that come with the manager's job.Written in an inviting and accessible style, this classic skill-building book is an essential tool for becoming an effective, confident new manager."

    In this groundbreaking follow-up to the bestselling Crush It!, Vaynerchuk—one of Bloomberg Businessweek’s “20 People Every Entrepreneur Should Follow”—looks beyond a numbers-based analysis to explore the value of social interactions in building our economy.

    A classic text by the author who developed ELIZA, a natural-language processing system.

    Tracy Kidder got a preview of this world in the late 1970s when he observed the engineers of Data General design and build a new 32-bit minicomputer in just one year. His thoughtful, prescient book, The Soul of a New Machine, tells stories of 35-year-old "veteran" engineers hiring recent college graduates and encouraging them to work harder and faster on complex and difficult projects, exploiting the youngsters' ignorance of normal scheduling processes while engendering a new kind of work ethic.These days, we are used to the "total commitment" philosophy of managing technical creation, but Kidder was surprised and even a little alarmed at the obsessions and compulsions he found. From in-house political struggles to workers being permitted to tease management to marathon 24-hour work sessions, The Soul of a New Machine explores concepts that already seem familiar, even old-hat, less than 20 years later. Kidder plainly admires his subjects; while he admits to hopeless confusion about their work, he finds their dedication heroic. The reader wonders, though, what will become of it all, now and in the future. —Rob Lightner

    Her students learn to make connections between their lives, the books they read, the community leaders they meet, and the larger world. Black Ants and Buddhists  offers no easy answers, but it does include starting points for conversations about diversity and controversy in your classroom, as well as in the larger community. Students and teachers investigate problems and issues together, in a multicultural, antiracist classroom.

    That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter.As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.

    A father cleans up after his toddler and imagines a cup that won't spill. An engineer watches people using walkie-talkies and has an idea. A doctor figures out how to deliver patients to the operating room before they die.By studying inventions like these — the sippy cup, the cell phone, and an ingenious hospital bed — we can learn how people imagine their way around "impossible" problems to discover groundbreaking answers. Pagan Kennedy reports on how these enduring methods can be adapted to the twenty-first century, as millions of us deploy tools like crowdfunding, big data, and 3-D printing to find hidden opportunities.    Inventology uses the stories of inventors and surprising research to reveal the steps that produce innovation. As Kennedy argues, recent advances in technology and communication have placed us at the cusp of a golden age; it's now more possible than ever before to transform ideas into actuality. Inventology is a must-read for designers, artists, makers—and anyone else who is curious about creativity. By identifying the steps of the invention process, Kennedy reveals the imaginative tools required to solve our most challenging problems.