It can help us do things faster and more efficiently than ever before, from tracking wolves through Minnesota by GPS to predicting which crimes are likely to happen where. Mega data has led to scientific and social achievements that would have been impossible just a few years ago. But being too dazzled by the scale, the speed, and the geeky jargon can lead us astray. It's big, but it's not always clever.Timandra Harkness cuts through the hype to put data science into its real-life context using a wide range of stories, people, and places to reveal what is essentially a human science--demystifying big data, telling us where it comes from and what it can do. BIG DATA then asks the awkward questions: What are the unspoken assumptions underlying its methods? Are we being bamboozled by mega data's size, its speed, and its shiny technology?Nobody needs a degree in computer science to follow Harkness's exploration of what mega data can do for us--and what it can't or shouldn't. BIG DATA asks you to decide: Are you a data point, or a human being?

    A new book that explores the science of productivity, and why, in today’s world, managing how you think—rather than what you think—can transform your life.

    Edited by the Sustainability Institute’s Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life.Some of the biggest problems facing the world—war, hunger, poverty, and environmental degradation—are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking.While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner.In a world growing ever more complicated, crowded, and interdependent, Thinking in Systems helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions.

    It’s about how people, organizations and societies can and must hit refresh—transform—in their persistent quest for new energy, new ideas, relevance and renewal. At the core, it’s about us humans and our unique qualities, like empathy, which will become ever more valuable in a world where the torrent of technology will disrupt like never before. As much a humanist as a technologist, Nadella defines his mission and that of the company he leads as empowering every person and every organization on the planet to achieve more.

    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.

    With this practical book, you'll explore the often-misunderstood practice of user story mapping, and learn how it can help keep your team stay focused on users and their experience throughout the development process.You and your team will learn that user stories aren't a way to write better specifications, but a way to organize and have better conversations. This book will help you understand what kinds of conversations you should be having, when to have them, and what to keep track of when you do. Learn the key concepts used to create a great story map. Understand how user stories really work, and how to make good use of them in agile and lean projects. Examine the nuts and bolts of managing stories through the development cycle. Use strategies that help you continue to learn before and after the product's release to customers and usersUser Story Mapping is ideal for agile and lean software development team members, product managers and UX practitioners in commercial product companies, and business analysts and project managers in IT organizations—whether you're new to this approach or want to understand more about it.

    Each blockbuster has a secret history--of power, influence, dark broadcasters, and passionate cults that turn some new products into cultural phenomena. Even the most brilliant ideas wither in obscurity if they fail to connect with the right network, and the consumers that matter most aren't the early adopters, but rather their friends, followers, and imitators -- the audience of your audience.In his groundbreaking investigation, Atlantic senior editor Derek Thompson uncovers the hidden psychology of why we like what we like and reveals the economics of cultural markets that invisibly shape our lives. Shattering the sentimental myths of hit-making that dominate pop culture and business, Thompson shows quality is insufficient for success, nobody has "good taste," and some of the most popular products in history were one bad break away from utter failure. It may be a new world, but there are some enduring truths to what audiences and consumers want. People love a familiar surprise: a product that is bold, yet sneakily recognizable.Every business, every artist, every person looking to promote themselves and their work wants to know what makes some works so successful while others disappear. Hit Makers is a magical mystery tour through the last century of pop culture blockbusters and the most valuable currency of the twenty-first century--people's attention.From the dawn of impressionist art to the future of Facebook, from small Etsy designers to the origin of Star Wars, Derek Thompson leaves no pet rock unturned to tell the fascinating story of how culture happens and why things become popular.In Hit Makers, Derek Thompson investigates: - The secret link between ESPN's sticky programming and the The Weeknd's catchy choruses - Why Facebook is the world's most important modern newspaper - How advertising critics predicted Donald Trump - The 5th grader who accidentally launched "Rock Around the Clock," the biggest hit in rock and roll history - How Barack Obama and his speechwriters think of themselves as songwriters - How Disney conquered the world--but the future of hits belongs to savvy amateurs and individuals - The French collector who accidentally created the Impressionist canon - Quantitative evidence that the biggest music hits aren't always the best - Why almost all Hollywood blockbusters are sequels, reboots, and adaptations - Why one year--1991--is responsible for the way pop music sounds today - Why another year --1932--created the business model of film - How data scientists proved that "going viral" is a myth - How 19th century immigration patterns explain the most heard song in the Western Hemisphere

    Rest assured that the book is not mere theory. Ericsson's research focuses on the real world, and he explains in detail, with examples, how all of us can apply the principles of great performance in our work or in any other part of our lives."-- Fortune Anders Ericsson has made a career studying chess champions, violin virtuosos, star athletes, and memory mavens. Peak distills three decades of myth-shattering research into a powerful learning strategy that is fundamentally different from the way people traditionally think about acquiring new abilities. Whether you want to stand out at work, improve your athletic or musical performance, or help your child achieve academic goals, Ericsson's revolutionary methods will show you how to improve at almost any skill that matters to you."The science of excellence can be divided into two eras: before Ericsson and after Ericsson. His groundbreaking work, captured in this brilliantly useful book, provides us with a blueprint for achieving the most important and life-changing work possible: to become a little bit better each day."--Dan Coyle, author of The Talent Code "Ericsson's research has revolutionized how we think about human achievement. If everyone would take the lessons of this book to heart, it could truly change the world."--Joshua Foer, author of Moonwalking with Einstein

     If you have ever found yourself lost halfway through other introductory materials on this topic, this is the book for you. If you don't understand set terminology such as vectors, hyperplanes, and centroids, then this is also the book for you. This starter course isn't a picture story book but does include many visual examples that break algorithms down into a digestible and practical format. As a starter course, this book connects the dots and offers the crash course I wish I had when I first started. The kind of guide I wish had before I started taking on introductory courses that presume you’re two days away from an advanced mathematics exam. That’s why this introductory course doesn’t go further on the subject than other introductory books, but rather, goes a step back. A half-step back in order to help everyone make his or her first strides in machine learning and is an ideal study companion for the visual learner. In this step-by-step guide you will learn: - How to download free datasets - What tools and software packages you need - Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data - Preparing data for analysis, including k-fold Validation - Regression analysis to create trend lines - Clustering, including k-means and k-nearest Neighbors - Naive Bayes Classifier to predict new classes - Anomaly detection and SVM algorithms to combat anomalies and outliers - The basics of Neural Networks - Bias/Variance to improve your machine learning model - Decision Trees to decode classification Please feel welcome to join this starter course by buying a copy, or sending a free sample to your preferred device.

    The only thing that's certain is that new challenges and opportunities will emerge that are virtually unimaginable today. How can we know which skills will be required to succeed?In Five Minds for the Future, bestselling author Howard Gardner shows how we will each need to master "five minds" that the fast-paced future will demand:· The disciplined mind, to learn at least one profession, as well as the major thinking (science, math, history, etc.) behind it· The synthesizing mind, to organize the massive amounts of information and communicate effectively to others· The creating mind, to revel in unasked questions—and uncover new phenomena and insightful apt answers· The respectful mind, to appreciate the differences between human beings - and understand and work with all persons· The ethical mind, to fulfill one's responsibilities as both a worker and a citizenWithout these "minds," we risk being overwhelmed by information, unable to succeed in the workplace, and incapable of the judgment needed to thrive both personally and professionally.Complete with a substantial new introduction, Five Minds for the Future provides valuable tools for those looking ahead to the next generation of leaders - and for all of us striving to excel in a complex world.Howard Gardner—cited by Foreign Policy magazine as one of the one hundred most influential public intellectuals in the world, and a MacArthur Fellowship recipient—is the Hobbs Professor of Cognition and Education at the Harvard Graduate School of Education.

    Each technique is introduced with a simple, jargon-free explanation, practical examples, and hands-on guidance for solving real problems with Excel or a TI-83/84 series calculator, including Plus models. Hate math? No sweat. You'll be amazed how little you need! For those who do have an interest in mathematics, optional "Equation Blackboard" sections review the equations that provide the foundations for important concepts. David M. Levine is a much-honored innovator in statistics education. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (CUNY), and co-author of several best-selling books, including Statistics for Managers using Microsoft Excel, Basic Business Statistics, Quality Management, and Six Sigma for Green Belts and Champions. Instructional designer David F. Stephan pioneered the classroom use of personal computers, and is a leader in making Excel more accessible to statistics students. He has co-authored several textbooks with David M. Levine. Here's just some of what you'll learn how to do... Use statistics in your everyday work or study Perform common statistical tasks using a Texas Instruments statistical calculator or Microsoft Excel Build and interpret statistical charts and tables "Test Yourself" at the end of each chapter to review the concepts and methods that you learned in the chapter Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses and decision-making risks with Z, t, Chi-Square, ANOVA, and other techniques Perform regression analysis and modeling The easy, practical introduction to statistics--for everyone! Thought you couldn't learn statistics? Think again. You can--and you will!

    Dr. Robert Cialdini is the seminal expert in the rapidly expanding field of influence and persuasion. His thirty-five years of rigorous, evidence-based research along with a three-year program of study on what moves people to change behavior has resulted in this highly acclaimed book.You'll learn the six universal principles, how to use them to become a skilled persuader—and how to defend yourself against them. Perfect for people in all walks of life, the principles of Influence will move you toward profound personal change and act as a driving force for your success.

    A malicious online rumor costs a company millions. A political sideshow derails the national news cycle and destroys a candidate. Some product or celebrity zooms from total obscurity to viral sensation. What you don't know is that someone is responsible for all this. Usually, someone like me.I'm a media manipulator. In a world where blogs control and distort the news, my job is to control blogs--as much as any one person can. In today's culture... 1) Blogs like "Gawker," "Buzzfeed" and the "Huffington Post" drive the media agenda. 2) Bloggers are slaves to money, technology, and deadlines. 3) Manipulators wield these levers to shape everything you read, see and watch--online and off.Why am I giving away these secrets? Because I'm tired of a world where blogs take indirect bribes, marketers help write the news, reckless journalists spread lies, and no one is accountable for any of it. I'm pulling back the curtain because I don't want anyone else to get blindsided. I'm going to explain exactly how the media "really" works. What you choose to do with this information is up to you.

    In this book, you'll learn how to become an entrepreneur, driving your career in the direction of your choosing. You'll learn how to build your software development career step by step, following the same path that you would follow if you were building, marketing, and selling a product. After all, your skills themselves are a product. The choices you make about which technologies to focus on and which business domains to master have at least as much impact on your success as your technical knowledge itself--don't let those choices be accidental. We'll walk through all aspects of the decision-making process, so you can ensure that you're investing your time and energy in the right areas. You'll develop a structured plan for keeping your mind engaged and your skills fresh. You'll learn how to assess your skills in terms of where they fit on the value chain, driving you away from commodity skills and toward those that are in high demand. Through a mix of high-level, thought-provoking essays and tactical "Act on It" sections, you will come away with concrete plans you can put into action immediately. You'll also get a chance to read the perspectives of several highly successful members of our industry from a variety of career paths. As with any product or service, if nobody knows what you're selling, nobody will buy. We'll walk through the often-neglected world of marketing, and you'll create a plan to market yourself both inside your company and to the industry in general. Above all, you'll see how you can set the direction of your career, leading to a more fulfilling and remarkable professional life.

    In How to Create a Mind, Kurzweil presents a provocative exploration of the most important project in human-machine civilization—reverse engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines.Kurzweil discusses how the brain functions, how the mind emerges from the brain, and the implications of vastly increasing the powers of our intelligence in addressing the world’s problems. He thoughtfully examines emotional and moral intelligence and the origins of consciousness and envisions the radical possibilities of our merging with the intelligent technology we are creating.Certain to be one of the most widely discussed and debated science books of the year, How to Create a Mind is sure to take its place alongside Kurzweil’s previous classics which include Fantastic Voyage: Live Long Enough to Live Forever and The Age of Spiritual Machines.