You can find the new edition here>An IndieReader Discovery Award Winner(Winner of the 2012 IndieReader Popular Fiction Award)Some people stop at the water's edge.Some keep going...Biologist Angela Haynes is accustomed to dark, lonely nights as one of the few humans at a penguin research station in Patagonia. She has grown used to the cries of penguins before dawn, to meager supplies and housing, to spending most of her days in one of the most remote regions on earth. What she isn’t used to is strange men washing ashore, which happens one day on her watch.The man won’t tell her his name or where he came from, but Angela, who has a soft spot for strays, tends to him, if for no other reason than to protect her birds and her work. When she later learns why he goes by an alias, why he is a refugee from the law, and why he is a man without a port, she begins to fall in love—and embarks on a journey that takes her deep into Antarctic waters, and even deeper into the emotional territory she thought she’d left behind.Against the backdrop of the Southern Ocean, The Tourist Trail weaves together the stories of Angela as well as FBI agent Robert Porter, dispatched on a mission that unearths a past he would rather keep buried; and Ethan Downes, a computer tech whose love for a passionate activist draws him into a dangerous mission.

    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    "Machine learning," the process of automating tasks once considered the domain of highly-trained analysts and mathematicians, is the key to efficiently extracting useful information from this sea of raw data. Machine Learning in Action is a unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. In it, the author uses the flexible Python programming language to show how to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification.

    His breaking of the German U-boat Enigma cipher in World War II ensured Allied-American control of the Atlantic. But Turing's vision went far beyond the desperate wartime struggle. Already in the 1930s he had defined the concept of the universal machine, which underpins the computer revolution. In 1945 he was a pioneer of electronic computer design. But Turing's true goal was the scientific understanding of the mind, brought out in the drama and wit of the famous "Turing test" for machine intelligence and in his prophecy for the twenty-first century.Drawn in to the cockpit of world events and the forefront of technological innovation, Alan Turing was also an innocent and unpretentious gay man trying to live in a society that criminalized him. In 1952 he revealed his homosexuality and was forced to participate in a humiliating treatment program, and was ever after regarded as a security risk. His suicide in 1954 remains one of the many enigmas in an astonishing life story.

    And if every page of these chapters does not proclaim to the reader that the only means for the realization of Truth is ahimsa, I shall deem all my labour in writing these chapters to have been in vain. And, even though my efforts in this behalf may prove fruitless, let the readers know that the vehicle, not the great principle, is at fault.- M. K. Gandhi

    Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884            0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke

    In her gothic visions of small-town America, Jackson, the author of such masterworks as The Haunting of Hill House and We Have Always Lived in the Castle, turns an ordinary world into a supernatural nightmare. This eclectic collection goes beyond her horror writing, revealing the full spectrum of her literary genius. In addition to Come Along with Me, Jackson's unfinished novel about the quirky inner life of a lonely widow, it features sixteen short stories and three lectures she delivered during her last years.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    The R language is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that would be impossible without such software to help implement such large data sets.

    Penned by the ancient Chinese philosopher and military general Sun Tzu, it reveals how to succeed in any conflict. This graphic version from SmarterComics brings Sun Tzu's message to life in dynamic illustrated form."

    Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by "doing," writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google's ranking algorithm), and cancer detection from cell features. A companion web site, codingthematrix.com provides data and support code. Most of the assignments can be auto-graded online. Over two hundred illustrations, including a selection of relevant "xkcd" comics. Chapters: "The Function," "The Field," "The Vector," "The Vector Space," "The Matrix," "The Basis," "Dimension," "Gaussian Elimination," "The Inner Product," "Special Bases," "The Singular Value Decomposition," "The Eigenvector," "The Linear Program"

    according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog "AI Weirdness." She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really, and how does it solve problems, understand humans, and even drive self-driving cars?Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't--like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"?In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt--and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking.

    Everything Explained through Flowcharts is your one-stop decision-making handbook, packed with meticulous diagrams that will illuminate life’s greatest mysteries—from your afterlife options to the best alien pick-up lines to the smoothest route to world domination. Distinctive and ingenious, Everything Explained through Flowcharts is the only book currently on the market that enables you to trace the labyrinthine connections that order the universe while causing eye strain in seniors.

    Intrusive thoughts begin invading John's mind. And the swirling blue liquid injected into their veins each night does not seem like part of any legitimate study.As the true motive for the research facility is revealed, John's focus shifts from his crippling insomnia to his own horrific imprisonment. Can he and his fellow subjects escape the facility alive, or are they doomed like all the test subjects before them?

    His parents are estranged, his rodeo legend father is an invalid, and the family ranch is nearing bankruptcy. The county is in an uproar. Thieves have been striking neighboring ranches, stealing champion horses, and disappearing into the desert like ghosts. While recovering, Sully attempts to make peace with his abusive father. The dark secrets that destroyed his parent’s marriage slowly come to light. Though furious, Sully is forced to live and work with his father for the survival of the ranch. Sully’s only refuge is the mother of a young marine recently killed in action. Despite their age difference, he begins to connect with her in a way he never thought possible. When Sully’s close friend is killed by the horse thieves, he and his Paiute companion decide to track the renegades themselves. What awaits in the high desert will sorely test their courage and survival skills—skills neither of them thought they’d ever use on American soil.