Best-selling novelist David Hewson, author of the ever-popular Writing A Novel with Scrivener, offers a professional insight into how to use this unique app for writing fiction. This ebook covers all the aspects of Ulysses a writer needs to master in order to produce a finished book, from initial planning through to completed ebook, Word file or PDFs for publication, reading and revision. You will learn how to use Ulysses to structure a book into parts and scenes, ways to manage research and ideas and how to develop a novel from a bare outline through to first draft and revisions. Hewson also describes how Ulysses stores work uniquely in its own library, enabling you to work on the same draft manuscript across different machines while on the move. For budding screenwriters there is a section on how to use Ulysses to produce scripts to professional formats that can be edited later in movie apps such as Final Draft. And this release will also include a free upgrade to an updated edition covering the next release of Ulysses and the forthcoming iPad app. David Hewson (www.davidhewson.com) is the author of more than 25 novels published around the world. He adapted the award-winning TV series The Killing into acclaimed novel and recently launched a new crime series set in Amsterdam with The House of Dolls which has been optioned for Dutch TV.

    Mirroring his theory, Minsky boldly casts The Society of Mind as an intellectual puzzle whose pieces are assembled along the way. Each chapter -- on a self-contained page -- corresponds to a piece in the puzzle. As the pages turn, a unified theory of the mind emerges, like a mosaic. Ingenious, amusing, and easy to read, The Society of Mind is an adventure in imagination.

    His conception of the universe pervades Christian theology. Knowledge of his thought is necessary to understand Bacon, Galileo, and the modern scientific view of nature, as well as Dante and many passages from Chaucer, Shakespeare, and Milton. Many phrases such as liberal education and theory contrasted with practice originated with this student of Plato and tutor of Alexander the Great.Writing to inform the beginner and stimulate the expert, eminent scholar A. E. Taylor presents a searching analysis of Aristotle's thought, including classification of the sciences; formal logic; theory of knowledge; matter and form; the four causes; God; physics; biology; sensation; ethics; theory of the state; and the fine arts. He also considers Aristotle's provincialism, errors regarding the nervous system and astronomy, and defense of slavery.The Giants of Philosophy is a series of dramatic presentations, in understandable language, of the concerns, questions, interests, and overall world view of history's greatest philosophers. Special emphasis on clear and relevant explanations gives you a new arsenal of insights toward living a better life.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    He argues that the anthropocene - the age in which humans acquired planetary-scale technologies - is, after 300 years, coming to an end. A new age - the novacene - has already begun.New beings will emerge from existing artificial intelligence systems. They will think 10,000 times faster than we do and they will regard us as we now regard plants - as desperately slow acting and thinking creatures. But this will not be the cruel, violent machine takeover of the planet imagined by sci-fi writers and film-makers. These hyper-intelligent beings will be as dependent on the health of the planet as we are. They will need the planetary cooling system of Gaia to defend them from the increasing heat of the sun as much as we do. And Gaia depends on organic life. We will be partners in this project.It is crucial, Lovelock argues, that the intelligence of Earth survives and prospers. He does not think there are intelligent aliens, so we are the only beings capable of understanding the cosmos. Maybe, he speculates, the novacene could even be the beginning of a process that will finally lead to intelligence suffusing the entire cosmos. At the age 100, James Lovelock has produced the most important and compelling work of his life.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    Si todos debemos movernos para sobrevivir, vale la pena preguntarse: ¿qué factores de nuestro entorno nos impulsan a movernos y cuáles, por el contrario, nos detienen? ¿Por qué algunas personas tienen la oportunidad de moverse hacia donde quieren y otras no? ¿Por qué ciertas sociedades evolucionan y otras no? Para responder a estas interrogantes, los autores del libro estudiaron los códigos culturales y el comportamiento Bio-Lógico de 71 países para desarrollar un índice de que permite medir la movilidad social dentro de estas sociedades.Andrés Roemer y Clotaire Rapaille señalan que las culturas más exitosas son aquellas que han sabido preservar los mejores aspectos de su tradición, al mismo tiempo que han estado dispuestas a innovar y buscar nuevos horizontes. Se trata de sociedades abiertas al cambio y sin temor al statu quo. Otra clave del éxito evolutivo de las sociedades es el equilibrio entre el aspecto biológico (determinado por cuatro factores: supervivencia, sexo, seguridad y superación) y el aspecto cultural. El reto, concluyen los autores, es aprender a armonizar nuestros instintos (nuestro cerebro reptiliano) con nuestras emociones (nuestro cerebro límbico) y nuestra lógica (el neocórtex).ENGLISH DESCRIPTION If we all know we must move to survive, shouldn’t we ask ourselves which factors in our environment propel us and which halt us? Why do certain societies evolve while others don’t? In this book, Andrés Roemer and Clotaire Rapaille point out that the most successful cultures are those that are not afraid of the status quo: they have learned to preserve the best qualities of their traditions while being open to innovation and to uncovering new horizons. Another key to the success of these societies is the equilibrium between biological and the cultural aspects. The challenge is to harmonize our instincts, our emotions, and our logic.

    AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions.Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

    Of the discovery of an alien race and of a kink in time that means humanity — whatever form it takes — will never again be threatened by acts of God.

    Even as they bring ease to our lives, these programs are stealing something essential from us.Drawing on psychological and neurological studies that underscore how tightly people’s happiness and satisfaction are tied to performing hard work in the real world, Carr reveals something we already suspect: shifting our attention to computer screens can leave us disengaged and discontented.From nineteenth-century textile mills to the cockpits of modern jets, from the frozen hunting grounds of Inuit tribes to the sterile landscapes of GPS maps, The Glass Cage explores the impact of automation from a deeply human perspective, examining the personal as well as the economic consequences of our growing dependence on computers.With a characteristic blend of history and philosophy, poetry and science, Carr takes us on a journey from the work and early theory of Adam Smith and Alfred North Whitehead to the latest research into human attention, memory, and happiness, culminating in a moving meditation on how we can use technology to expand the human experience.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of Web intelligence, as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected.Gautam Shroff takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars. This machine intelligence may even mimic at a basic level what happens in the brain.

    From the New York Times bestselling author of Chasing the Scream and Lost Connections comes a groundbreaking examination of why this is happening--and how to get our attention back. "The book the world needs in order to win the war on distraction."--Adam Grant, author of Think Again"Read this book to save your mind."--Susan Cain, author of QuietIn the United States, teenagers can focus on one task for only sixty-five seconds at a time, and office workers average only three minutes. Like so many of us, Johann Hari was finding that constantly switching from device to device and tab to tab was a diminishing and depressing way to live. He tried all sorts of self-help solutions--even abandoning his phone for three months--but nothing seemed to work. So Hari went on an epic journey across the world to interview the leading experts on human attention--and he discovered that everything we think we know about this crisis is wrong.We think our inability to focus is a personal failure to exert enough willpower over our devices. The truth is even more disturbing: our focus has been stolen by powerful external forces that have left us uniquely vulnerable to corporations determined to raid our attention for profit. Hari found that there are twelve deep causes of this crisis, from the decline of mind-wandering to rising pollution, all of which have robbed some of our attention. In Stolen Focus, he introduces readers to Silicon Valley dissidents who learned to hack human attention, and veterinarians who diagnose dogs with ADHD. He explores a favela in Rio de Janeiro where everyone lost their attention in a particularly surreal way, and an office in New Zealand that discovered a remarkable technique to restore workers' productivity.Crucially, Hari learned how we can reclaim our focus--as individuals, and as a society--if we are determined to fight for it. Stolen Focus will transform the debate about attention and finally show us how to get it back.

    Yet, no records exist explaining how, why, or who built Egypt’s megalithic monuments and statues. The ancient Egyptians did, however, record that their civilization resided in the shadow of a kingdom of “gods” whose reign ended many thousands of years before their first dynasty. What was this Civilization X that antiquity’s most accomplished people revered as gods?The recent discovery of a large stone at one of Egypt’s oldest ruins presents physical evidence that clearly and distinctly shows the markings of a machining process far beyond the capabilities of the Ancient Egyptians. Likewise, experimental modeling of the Great Pyramid’s subterranean chambers and passageways gives scientific evidence to further support the theory that the civilization responsible for such magnificent monuments is much older than presently believed. Ancient Egypt 39,000 BCE examines this evidence from historical and technical points of view, explaining who these prehistoric people were, what happened to them, why they built their civilization out of granite, and why they built a series of pyramids along the west bank of the Nile River.