Yet supporters of Bitcoin and its blockchain technology subscribe to a form of cyberlibertarianism that depends to a surprising extent on far-right political thought. The Politics of Bitcoin exposes how much of the economic and political thought on which this cryptocurrency is based emerges from ideas that travel the gamut, from Milton Friedman, F.A. Hayek, and Ludwig von Mises to Federal Reserve conspiracy theorists.Forerunners: Ideas First is a thought-in-process series of breakthrough digital publications. Written between fresh ideas and finished books, Forerunners draws on scholarly work initiated in notable blogs, social media, conference plenaries, journal articles, and the synergy of academic exchange. This is gray literature publishing: where intense thinking, change, and speculation take place in scholarship.

    A powerful warning about the hidden dangers in today's fascination with the paranormal -- the angel phenomenon, spirit guides, UFOs, vampires, Ouija boards, fantasy games, and others.

    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.

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    Ethical Leadership and Decision Making in Education: Applying Theoretical Perspectives to Complex Dilemmas, Second Edition: *demonstrates the application of different ethical paradigms (the ethics of justice, care, critique, and the profession) through discussion and analysis of real-life moral dilemmas that educational leaders face in their schools and communities;*addresses some of the practical, pedagogical, and curricular issues related to the teaching of ethics for educational leaders;*emphasizes the importance of ethics instruction from a variety of theoretical approaches; and*provides a process that instructors might follow to develop their own ethics unit or course.Part I provides an overview of why ethics is so important, especially for today's educational leaders, and presents a multiparadigm approach essential to practitioners as they grapple with ethical dilemmas. Part II deals with the dilemmas themselves. It includes a brief introduction to how the cases were constructed, an illustration of how the multiparadigm approach may be applied to a real dilemma, and ethical dilemmas written by graduate students that represent the kinds of dilemmas faced by practicing administrators in urban, suburban, and rural settings in an era full of complexities and contradictions. Part III focuses on pedagogy and provides teaching notes for the instructor. The authors discuss the importance of self-reflection on the part of both instructors and students, and model how they thought through their own personal and professional ethical codes as well as reflected upon the critical incidents in their lives that shape their teaching and frequently determine what they privileged in class.New in the Second Edition: *A completely new chapter emphasizing religious differences and presenting the contradictions between religion and culture;*A completely new chapter on testing, juxtaposing the paradox of accountability with responsibility;*Several new dilemmas focusing on higher education, recognizing that many educational leadership training programs include students with this focus; and*Changes throughout to update the text, including a discussion of recent scholarship in the field of ethical leadership.Ethical Leadership and Decision Making in Education: Applying Theoretical Perspectives to Complex Dilemmas, Second Edition is easily adaptable for a variety of uses with a wide range of audiences. It is equally valuable as a text for university courses related to the preparation of educational leaders and as a professional reference for aspiring and practicing administrators, teacher leaders, office personnel, and educational policy makers.

    Today’s "machine-learning" systems, trained by data, are so effective that we’ve invited them to see and hear for us?and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole?and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software.In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story.The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

    The language could be compared to the building blocks of music (time signatures, chord progressions, verse)—no matter the instruments, style or time period—these building blocks come into play. Feel and sensation are similar building blocks where game design is concerned. They create the meta-sensation of involvement with a game.The understanding of how game designers create feel, and affect feel are only partially understood by most in the field and tends to be overlooked as a method or course of study, yet a game's feel is central to a game's success. This book brings the subject of feel to light by consolidating existing theories into a cohesive book.The book covers topics like the role of sound, ancillary indicators, the importance of metaphor, how people perceive things, and a brief history of feel in games.The associated web site contains a playset with ready-made tools to design feel in games, six key components to creating virtual sensation. There's a play palette too, so the designer can first experience the importance of that component by altering variables and feeling the results. The playset allows the reader to experience each of the sensations described in the book, and then allows them to apply them to their own projects. Creating game feel without having to program, essentially. The final version of the playset will have enough flexibility that the reader will be able to use it as a companion to the exercises in the book, working through each one to create the feel described.

    You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples--ready for immediate application to your next graph or presentation.Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data--Storytelling with Data will give you the skills and power to tell it!

    Written by a usability engineer with a long and successful paper prototyping history, this book is a practical, how-to guide that will prepare you to create and test paper prototypes of all kinds of user interfaces. You'll see how to simulate various kinds of interface elements and interactions. You'll learn about the practical aspects of paper prototyping, such as deciding when the technique is appropriate, scheduling the activities, and handling the skepticism of others in your organization. Numerous case studies and images throughout the book show you real world examples of paper prototyping at work.Learn how to use this powerful technique to develop products that are more useful, intuitive, efficient, and pleasing:* Save time and money - solve key problems before implementation begins * Get user feedback early - use it to focus the development process * Communicate better - involve development team members from a variety of disciplines * Be more creative - experiment with many ideas before committing to one

    Cells are built out of molecular circuits that perform logical operations, as electronic devices do, but with unique properties. Bray argues that the computational juice of cells provides the basis of all the distinctive properties of living systems: it allows organisms to embody in their internal structure an image of the world, and this accounts for their adaptability, responsiveness, and intelligence.In Wetware, Bray offers imaginative, wide-ranging and perceptive critiques of robotics and complexity theory, as well as many entertaining and telling anecdotes. For the general reader, the practicing scientist, and all others with an interest in the nature of life, the book is an exciting portal to some of biology’s latest discoveries and ideas.

    Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations.You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tablesStudy abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machinesGet starter code and solutions to help you re-implement and extend original experiments in complexityExplore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topicsExamine case studies of complex systems submitted by students and readers

    Description:- Calendar Girl: Volume One: 1 Mia Saunders needs money. A lot of money. She has one year to pay off the loan shark who has threatened her father's life and is coming after his unpaid gambling debts. One million dollars to be exact. Her mission is simple-serve as a high-priced escort for her aunt's Los Angeles-based company and pay monthly against the debt. Calendar Girl: Volume Two Unwilling escort Mia Saunders's journey continues in the second anthology of the Calendar Girl series! In the next three months, Mia heads to Boston, Oahu, and Washington DC. In April, she poses as girlfriend to philandering Mason Murphy, a professional baseball player who needs a better image, only to find he's not at all what she expected. May finds Mia turning up the heat with Samoan model and fire-dancer Tai Niko as she participates in a swimsuit campaign designed to prove that beauty really does comes in all sizes. Calendar Girl: Volume Three: 3 Mia Saunders journey continues in the third wicked hot anthology of the Calendar Girl Series! In the next three months, Mia heads to Miami, Texas, and her hometown, Las Vegas. In July, she serves as the seductress in a music video to platinum selling hip hop artist Anton Santiago. Still dealing with the trauma from June, our girl opens her heart and finds that taking risks in life and love could give her all that she ever needed and more. Calendar Girl: Volume Four Calendar Girl Mia Saunders has come a long way. She rounds out the end of her year-long journey in Hollywood, New York City, and Aspen. In October, Mia starts her new life working on a celebrity daytime television show where she runs a regular segment about living beautiful. Her guy deals with the aftermath of captivity, and together they find a way to fight through the storms.

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    A daily tool of the trade for specialists. Handbook of Usability Testing gives you practical, step-by-step guidelines in plain English. Written by Jeffrey Rubin, it arms beginners with the full complement of proven testing tools and techniques. From software, GUIs, and technical documentation, to medical instruments, VCRs, and exercise bikes, no matter what your product, you'll learn to design and administer extremely reliable tests to ensure that people find it easy and desirable to use. * Requires no engineering or human factors training * A rigorous, step-by-step approach--with an eye to common gaffes and pitfalls--saves you months of trial and error * Liberally peppered with real-life examples and case histories taken from a wide range of industries * Packed with extremely usable templates, models, tables, test plans, and other indispensable tools of the trade

    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.