Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more.Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.

    Later, as you're about to get back to work, a colleague taps you on the shoulder to chat. At home, screens get in the way of quality time with your family. Another day goes by, and once again, your most important personal and professional goals are put on hold.  What would be possible if you followed through on your best intentions? What could you accomplish if you could stay focused and overcome distractions? What if you had the power to become "indistractable"?  International best-selling author, former Stanford lecturer, and behavioral design expert, Nir Eyal, wrote Silicon Valley's handbook for making technology habit-forming. Five years after publishing Hooked, Eyal reveals distraction's Achilles' heel in his groundbreaking new book.  In Indistractable, Eyal reveals the hidden psychology driving us to distraction. He describes why solving the problem is not as simple as swearing off our devices: Abstinence is impractical and often makes us want more.  Eyal lays bare the secret of finally doing what you say you will do with a four-step, research-backed model. Indistractable reveals the key to getting the best out of technology, without letting it get the best of us.  Inside, Eyal overturns conventional wisdom and reveals: Why distraction at work is a symptom of a dysfunctional company culture - and how to fix it  What really drives human behavior and why "time management is pain management"  Why your relationships (and your sex life) depend on you becoming indistractable  How to raise indistractable children in an increasingly distracting world Empowering and optimistic, Indistractable provides practical, novel techniques to control your time and attention - helping you live the life you really want.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Babies were plentiful, workers outnumbered retirees, and people aspiring towards the middle class yearned to own homes and cars. Companies didn't need to see any further than Europe and the United States to do well. Printed money was legal tender for all debts, public and private. We grew up learning how to "play the game," and we expected the rules to remain the same as we took our first job, started a family, saw our children grow up, and went into retirement with our finances secure.That world—and those rules—are over.By 2030, a new reality will take hold, and before you know it:- There will be more grandparents than grandchildren- The middle-class in Asia and Sub-Saharan Africa will outnumber the US and Europe combined- The global economy will be driven by the non-Western consumer for the first time in modern history- There will be more global wealth owned by women than men- There will be more robots than workers- There will be more computers than human brains- There will be more currencies than countriesAll these trends, currently underway, will converge in the year 2030 and change everything you know about culture, the economy, and the world.According to Mauro F. Guillen, the only way to truly understand the global transformations underway—and their impacts—is to think laterally. That is, using “peripheral vision,” or approaching problems creatively and from unorthodox points of view. Rather than focusing on a single trend—climate-change or the rise of illiberal regimes, for example—Guillen encourages us to consider the dynamic inter-play between a range of forces that will converge on a single tipping point—2030—that will be, for better or worse, the point of no return.2030 is both a remarkable guide to the coming changes and an exercise in the power of “lateral thinking,” thereby revolutionizing the way you think about cataclysmic change and its consequences.

    Now, in a tour-de-force narrative twenty years in the making, Ashton leads us on a journey through humanity’s greatest creations to uncover the surprising truth behind who creates and how they do it. From the crystallographer’s laboratory where the secrets of DNA were first revealed by a long forgotten woman, to the electromagnetic chamber where the stealth bomber was born on a twenty-five-cent bet, to the Ohio bicycle shop where the Wright brothers set out to “fly a horse,” Ashton showcases the seemingly unremarkable individuals, gradual steps, multiple failures, and countless ordinary and usually uncredited acts that lead to our most astounding breakthroughs.Creators, he shows, apply in particular ways the everyday, ordinary thinking of which we are all capable, taking thousands of small steps and working in an endless loop of problem and solution. He examines why innovators meet resistance and how they overcome it, why most organizations stifle creative people, and how the most creative organizations work. Drawing on examples from art, science, business, and invention, from Mozart to the Muppets, Archimedes to Apple, Kandinsky to a can of Coke, How to Fly a Horse is a passionate and immensely rewarding exploration of how “new” comes to be.

    Gigabytes, exabytes (that’s one quintillion bytes) of data are sitting on servers across the world. So how can we start to access this explosion of information, this “big data,” and what can it tell us?   Erez Aiden and Jean-Baptiste Michel are two young scientists at Harvard who started to ask those questions. They teamed up with Google to create the Ngram Viewer, a Web-based tool that can chart words throughout the massive Google Books archive, sifting through billions of words to find fascinating cultural trends. On the day that the Ngram Viewer debuted in 2010, more than one million queries were run through it.   On the front lines of Big Data, Aiden and Michel realized that this big dataset—the Google Books archive that contains remarkable information on the human experience—had huge implications for looking at our shared human history. The tool they developed to delve into the data has enabled researchers to track how our language has evolved over time, how art has been censored, how fame can grow and fade, how nations trend toward war. How we remember and how we forget. And ultimately, how Big Data is changing the game for the sciences, humanities, politics, business, and our culture.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    Robots are becoming increasingly dextrous, flexible, and safe to be around (except the military ones!).  It is our most powerful technology, and you need to understand it. This new book from best-selling AI writer Calum Chace argues that within a few decades, most humans will not be able to work for money.  Self-driving cars will probably be the canary in the coal mine, providing a wake-up call for everyone who isn’t yet paying attention. All jobs will be affected, from fast food McJobs to lawyers and journalists. This is the single most important development facing humanity in the first half of the 21st century. The fashionable belief that Universal Basic Income is the solution is only partly correct.  We are probably going to need an entirely new economic system, and we better start planning soon - for the Economic Singularity! The outcome can be very good – a world in which machines do all the boring jobs and humans do pretty much what they please. But there are major risks, which we can only avoid by being alert to the possible futures and planning how to avoid the negative ones.

    Shattering the myth of muses, higher powers, even creative “types,” Jonah Lehrer demonstrates that creativity is not a single gift possessed by the lucky few. It’s a variety of distinct thought processes that we can all learn to use more effectively.Lehrer reveals the importance of embracing the rut, thinking like a child, daydreaming productively, and adopting an outsider’s perspective (travel helps). He unveils the optimal mix of old and new partners in any creative collaboration, and explains why criticism is essential to the process. Then he zooms out to show how we can make our neighborhoods more vibrant, our companies more productive, and our schools more effective.You’ll learn about Bob Dylan’s writing habits and the drug addictions of poets. You’ll meet a Manhattan bartender who thinks like a chemist, and an autistic surfer who invented an entirely new surfing move. You’ll see why Elizabethan England experienced a creative explosion, and how Pixar’s office space is designed to spark the next big leap in animation.Collapsing the layers separating the neuron from the finished symphony, Imagine reveals the deep inventiveness of the human mind, and its essential role in our increasingly complex world. http://www.jonahlehrer.com/

    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.

    Uber had catapulted to the top of the tech world, yet for many came to symbolize everything wrong with Silicon Valley.Award-winning New York Times technology correspondent Mike Isaac’s Super Pumped presents the dramatic rise and fall of Uber, set against an era of rapid upheaval in Silicon Valley. Backed by billions in venture capital dollars and led by a brash and ambitious founder, Uber promised to revolutionize the way we move people and goods through the world. A near instant “unicorn,” Uber seemed poised to take its place next to Amazon, Apple, and Google as a technology giant.What followed would become a corporate cautionary tale about the perils of startup culture and a vivid example of how blind worship of startup founders can go wildly wrong. Isaac recounts Uber’s pitched battles with taxi unions and drivers, the company’s toxic internal culture, and the bare-knuckle tactics it devised to overcome obstacles in its quest for dominance. With billions of dollars at stake, Isaac shows how venture capitalists asserted their power and seized control of the startup as it fought its way toward its fateful IPO.Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a page-turning story of ambition and deception, obscene wealth, and bad behavior that explores how blistering technological and financial innovation culminated in one of the most catastrophic twelve-month periods in American corporate history.

    Its enable us to sense, measure, and understand aspects of our existence in ways never before possible. The Human Face of Big Data captures, in glorious photographs and moving essays, an extraordinary revolution sweeping, almost invisibly, through business, academia, government, healthcare, and everyday life. It's already enabling us to provide a healthier life for our children. To provide our seniors with independence while keeping them safe. To help us conserve precious resources like water and energy. To alert us to tiny changes in our health, weeks or years before we develop a life-threatening illness. To peer into our own individual genetic makeup. To create new forms of life.  And soon, as many predict, to re-engineer our own species. And we've barely scratched the surface . . . Over the past decade, Rick Smolan and Jennifer Erwitt, co-founders of Against All Odds Productions, have produced a series of ambitious global projects in collaboration with hundreds of the world's leading photographers, writers, and graphic designers. Their Day in the Life projects were credited for creating a mass market for large-format illustrated books (rare was the coffee table book without one).  Today their projects aim at sparking global conversations about emerging topics ranging from the Internet (24 Hours in Cyberspace), to Microprocessors (One Digital Day), to how the human race is learning to heal itself, (The Power to Heal) to the global water crisis (Blue Planet Run). This year Smolan and Erwitt dispatched photographers and writers in every corner of the globe to explore the world of “Big Data” and to determine if it truly does, as many in the field claim, represent a brand new toolset for humanity, helping address the biggest challenges facing our species. The book features 10 essays by noted writers:Introduction: OCEANS OF DATA by Dan GardnerChapter 1: REFLECTIONS IN A DIGITAL MIRROR by Juan Enriquez, CEO, BiotechnomomyChapter 2: OUR DATA OURSELVES by Kate Green, the EconomistChapter 3: QUANTIFYING MYSELF by AJ Jacobs, EsquireChapter 4: DARK DATA by Marc Goodman, Future Crime InstituteChapter 5:  THE SENTIENT SENSOR MESH by Susan Karlin, Fast CompanyChapter 6: TAKING THE PULSE OF THE PLANET by Esther Dyson, EDventureChapter 7: CITIZEN SCIENCE by Gareth Cook, the Boston GlobeChapter 8: A DEMOGRAPH OF ONE by Michael Malone, Forbes magazineChapter 9: THE ART OF DATA by Aaron Koblin, Google Artist in ResidenceChapter 10: DATA DRIVEN by Jonathan Harris, Cowbird The book will also feature stunning info graphics from NIGEL HOLMES.1) GOOGLING GOOGLE: all the ways Google uses Data to help humanity2) DATA IS THE NEW OIL3) THE WORLD ACCORDING TO TWITTER4) AUCTIONING EYEBALLS: The world of Internet advertising5) FACEBOOK: A Billion Friends

    Taking us on a journey through every fundamental field of science, as well as the history of civilization, art, moral values, and the theory of political institutions, Deutsch tracks how we form new explanations and drop bad ones, explaining the conditions under which progress—which he argues is potentially boundless—can and cannot happen. Hugely ambitious and highly original, The Beginning of Infinity explores and establishes deep connections between the laws of nature, the human condition, knowledge, and the possibility for progress.

    Acclaimed technologist and inventor Amir Husain explains how we can live amidst the coming age of sentient machines and artificial intelligence—and not only survive, but thrive.Artificial “machine” intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars, automatic checkout at the drugstore, and are unable to live without our smartphones. The discussion around AI is polarized; people think either machines will solve all problems for everyone, or they will lead us down a dark, dystopian path into total human irrelevance. Regardless of what you believe, the idea that we might bring forth intelligent creation can be intrinsically frightening. But what if our greatest role as humans so far is that of creators? Amir Husain, a brilliant inventor and computer scientist, argues that we are on the cusp of writing our next, and greatest, creation myth. It is the dawn of a new form of intellectual diversity, one that we need to embrace in order to advance the state of the art in many critical fields, including security, resource management, finance, and energy. “In The Sentient Machine, Husain prepares us for a brighter future; not with hyperbole about right and wrong, but with serious arguments about risk and potential” (Dr. Greg Hyslop, Chief Technology Officer, The Boeing Company). He addresses broad existential questions surrounding the coming of AI: Why are we valuable? What can we create in this world? How are we intelligent? What constitutes progress for us? And how might we fail to progress? Husain boils down complex computer science and AI concepts into clear, plainspoken language and draws from a wide variety of cultural and historical references to illustrate his points. Ultimately, Husain challenges many of our societal norms and upends assumptions we hold about “the good life.”

    Things a Little Bird Told Me From GQ's "Nerd of the Year" to one of Time's most influential people in the world, Biz Stone represents different things to different people. But he is known to all as the creative, effervescent, funny, charmingly positive and remarkably savvy co-founder of Twitter-the social media platform that singlehandedly changed the way the world works. Now, Biz tells fascinating, pivotal, and personal stories from his early life and his careers at Google and Twitter, sharing his knowledge about the nature and importance of ingenuity today. In Biz's world: Opportunity can be manufactured Great work comes from abandoning a linear way of thinking Creativity never runs out Asking questions is free Empathy is core to personal and global success In this book, Biz also addresses failure, the value of vulnerability, ambition, and corporate culture. Whether seeking behind-the-scenes stories, advice, or wisdom and principles from one of the most successful businessmen of the new century, Things a Little Bird Told Me will satisfy every reader.