They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations that understand these tools and know how to use them are benefiting at the expense of their rivals.Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies.This revised and fully updated edition contains several new sections and chapters, covering a broader set of topics than before, but retains the no-nonsense style of the original.Steven Finlay is a data scientist and author with more than 20 years’ experience of developing practical, business focused, analytical solutions. He holds a PhD in management science and is an honorary research fellow at Lancaster University in the UK.

    What would you see if you removed the skull from the human brain and then slowly worked your way deeper and deeper into the brain, to the level of an individual neuron? With renowned brain researcher Susan Greenfield as your guide, here is your chance to gain a bird's eye view of the human brain—and to learn more about what the brain is, how it works, what happens when one part of the brain is made dysfunctional through stroke or accident, how brain mood-modifying drugs find their targets.In a particularly fascinating chapter, Greenfield surveys for us how a brain is built and then takes us on a tour of the developing brain from the moment of conception.Throughout Greenfield poses the larger questions all readers want to consider, including: At what stage does individuality creep into the developing brain? How does the collection of circuits of neurons give rise not just to an individual brain but an individual consciousness? What might a fetus be conscious of?

    What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be.A tech entrepreneur and pioneering research scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence, and what it would take to get there. Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. This is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don't correlate data sets: we make conjectures informed by context and experience. Human intelligence is a web of best guesses, given what we know about the world. We haven't a clue how to program this kind of intuitive reasoning, known as abduction. Yet it is the heart of common sense. That's why Alexa can't understand what you are asking, and why AI can only take us so far.Larson argues that AI hype is both bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we want to make real progress, we will need to start by more fully appreciating the only true intelligence we know--our own.

    But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.Train models in computer vision, natural language processing, tabular data, and collaborative filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your work

    No Dork Diaries collection is complete without this boxed set of Dork Diaries #7, #8, and #9!Books seven, eight, and nine in the wildly popular New York Times, USA TODAY, and Publishers Weekly bestselling Dork Diaries series are all available in one dorktastic boxed set!This boxed set includes Dork Diaries 7: Tales from a Not-So-Glam TV Star, Dork Diaries 8: Tales from a Not-So-Happily Ever After, and Dork Diaries 9: Tales from a Not-So-Dorky Drama Queen.

    

    Based on the remarkable story of `The U-boat that lost its Nerve'(formerly a radio play by James Follett) , U-700 is an account of the surrender of a U-boat (actually U-570) to an RAF Hudson during World War II and the subsequent illegal court martial of the U-boat's first officer by his fellow officers in a POW camp.

    When her favourite writer, Peter Lovesey, is due to appear at the Emirates Literature Festival, she is beyond thrilled. What will she do then when her husband changes their plans at the last minute?

    How far will Solen go to keep her safe from the opposing forces, as well as the members of his own army?

    S. Parker for your reading pleasure.Four complete series included plus Book 1 of the upcoming MS Parker series, Dom X. Only available for a limited time.Get lost in the sexy world of MS Parker tonight.The series include: Dom X - Book 1, Sinful Desires Book 1 - 5, Casual Encounter Book 1-5, Twisted Affair Book 1 - 5 and Exotic Desires Book 1-3

    This offbeat comment in 1980 launched Cytowic's exploration into the oddity called synesthesia. He is one of the few world authorities on the subject. Sharing a root with anesthesia (no sensation), synesthesia means joined sensation, whereby a voice, for example, is not only heard but also seen, felt, or tasted. The trait is involuntary, hereditary, and fairly common. It stayed a scientific mystery for two centuries until Cytowic's original experiments led to a neurological explanation--and to a new concept of brain organization that accentuates emotion over reason. That chicken dinner two decades ago led Cytowic to explore a deeper reality that, he argues, exists in everyone but is often just below the surface of awareness (which is why finding meaning in our lives can be elusive). In this medical detective adventure, Cytowic shows how synesthesia, far from being a mere curiosity, illuminates a wide swath of mental life and leads to a new view of what is means to be human--a view that turns upside down conventional ideas about reason, emotional knowledge, and self-understanding. This 2003 edition features a new afterword.

    This engaging book--part scientific overview, part memoir, part futurist speculation--describes Koch's search for an empirical explanation for consciousness. Koch recounts not only the birth of the modern science of consciousness but also the subterranean motivation for his quest--his instinctual (if "romantic") belief that life is meaningful.Koch describes his own groundbreaking work with Francis Crick in the 1990s and 2000s and the gradual emergence of consciousness (once considered a "fringy" subject) as a legitimate topic for scientific investigation. Present at this paradigm shift were Koch and a handful of colleagues, including Ned Block, David Chalmers, Stanislas Dehaene, Giulio Tononi, Wolf Singer, and others. Aiding and abetting it were new techniques to listen in on the activity of individual nerve cells, clinical studies, and brain-imaging technologies that allowed safe and noninvasive study of the human brain in action.Koch gives us stories from the front lines of modern research into the neurobiology of consciousness as well as his own reflections on a variety of topics, including the distinction between attention and awareness, the unconscious, how neurons respond to Homer Simpson, the physics and biology of free will, dogs, Der Ring des Nibelungen, sentient machines, the loss of his belief in a personal God, and sadness. All of them are signposts in the pursuit of his life's work--to uncover the roots of consciousness.

    especially the biker who turned her down cold when she offered herself to him. It may be February, but hearts and flowers are the last thing on Dani Geary's mind. She's too busy struggling to keep her art shop open. When a nomad biker rides back into her life, claiming to be a part-owner of her business, she’ s furious, for more reasons than one. Because he’s not just any biker… he’s the man who rejected her when she needed him most.But when she goes to the president of the Devil’s Flyers MC for help, she’s in for another rude surprise. Stick Vanko tells her to make it work with her new partner.Dean ‘Grinder’ Geary is down on his luck. First, he wrecked his beloved Harley, and tore up his knee. Then, he lost his job as bouncer at a Seattle nightclub. At forty-four, the only thing he has left is part-ownership of a little art shop in Spokane, Washington.But to claim it, he must deal with his dead cousin’s ex. The woman who ruined him for all others.And the last woman he should ever trust—in business or in pleasure. Will love's sweetness be worth the sting? Ride along with the Devil's Flyers. The bigger the alpha… the harder he falls. Each book can be read as a standalone, with a HEA, no cheating, and honey-sweet, turn-up-the-heat romance!

    But when he fled the country to escape prosecution and entrusted her with his hard-won empire, Gino realized that Lucky Santangelo is no different than him—Lucky is a woman who could seize the reins of power with all the cunning, drive, and strength of a true Santangelo. Poised, sensuous, hungry for pleasure, Lucky is in love with power—and determined to fight for it. From New York penthouses and the villas of Southern France to the casinos of Las Vegas and the bedrooms of Beverly Hills, here's the unforgettable story of a woman on top of a world of love, sex, and wealth—where power is the ultimate aphrodisiac.

    Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day. To help you consider all of possible ramifications of your work on data projects, this report includes: A sample checklist that you can adapt for your own procedures Five framing guidelines (the Five C’s) for building data products: consent, clarity, consistency, control, and consequences Suggestions for building ethics into your data-driven culture Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Get a copy of this report and learn what it takes to do good data science today.