This is a book about LEARNING! Technology is not a magic solution for education. It is an opportunity! An opportunity to shake things up, to connect and grow, and to create dynamic learning experiences for our students!   In this three-part book, you will explore WHY it's time to Shake Up Learning, WHAT changes we can make in our classrooms to support dynamic learning experiences, and HOW to plan meaningful lessons for your classroom. Rapidly evolving technology and the demands of the digital age are transforming not only the way we live but also the way we learn. The tools students are using are newer, sleeker, and faster than ever before. In some cases, the medium is even changing the message. One thing is certain: Educators cannot continue the status quo if they expect to equip young people for the world to come.  Here's the good news: With digital tools that are available 24/7, learning doesn't have to stop when the bell rings. Learning can take on a life of its own! Even better, technology can help you connect with students and empower them to grow and develop a lifelong love for learning--and it doesn't have to be scary or complicated.  Shake Up Learning is a powerful guide and planning tool to help educators at all grade levels make the most of technology. Educator and blogger Kasey Bell guides you through the process of using technology and proven techniques to make learning dynamic. You'll discover . . .  Practical strategies to help move from static teaching to dynamic learning Straightforward and easy-to-use templates for crafting engaging learning opportunities  Tips and tricks for fearless implementation of powerful lesson plans Advice for moving from one-and-done activities to learning that evolves and inspires throughout the school year--and beyond!  This is MORE than just a book! This is a full LEARNING EXPERIENCE! This book is jammed packed with ideas, lessons, and resources, but you can bring it all to life with the companion website, ShakeUpLearningBook.com, and the companion online course, The Dynamic Learning Workshop! Be dynamic! Shake up learning in your classroom this year.

    Here is a rare collection of photographs taken by one of the country's best photographers.

    The calls to ban it were more or less instant.Re:cyclists is the tale of what happened next, of how we have spent two centuries wheeling our way about town and country on bikes--or on two-wheeled things that vaguely resembled what we now call bikes. Michael Hutchinson picks his way through those 200 years, discovering how cycling became a kinky vaudeville act for Parisians, how it became an American business empire, and how it went on to find a unique home in the British Isles. He considers the penny-farthing riders exploring the abandoned and lonely coaching roads during the railway era, and the Victorian high-society cyclists of the 1890s bicycle craze--a time when no aristocratic house party was without bicycles and when the Prince of Wales used to give himself an illicit thrill on a weekday afternoon by watching the women's riding-school in the Royal Albert Hall.Re:cyclists looks at how cycling became the sport, the pastime and the social life of millions of ordinary people, how it grew and how it suffered through the 1960s and '70s, and how at the dawn of the twenty-first century it rose again, much changed but still ultimately just someone careering along on two wheels.

    Assuming no prior knowledge of C, this introductory-level book demonstrates and explains how to write useful and marketable programs in Turbo C on the IBM PC, XT, AT, and PC/Z computers.

    Sold in over 85 countries and translated into more than 5 languages.---------------Want to get started on data science?Our promise: no math added.This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals.Popular concepts covered include:- A/B Testing- Anomaly Detection- Association Rules- Clustering- Decision Trees and Random Forests- Regression Analysis- Social Network Analysis- Neural NetworksFeatures:- Intuitive explanations and visuals- Real-world applications to illustrate each algorithm- Point summaries at the end of each chapter- Reference sheets comparing the pros and cons of algorithms- Glossary list of commonly-used termsWith this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

    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.

    The emphasis throughout is on fundamental concepts--readers learn important ideas, not minor language differences--but several languages are highlighted in sufficient detail to enable readers to write programs that demonstrate the relationship between a source program and its execution behavior--e.g., C, C++, JAVA, ML, LISP, Prolog, Smalltalk, Postscript, HTML, PERL, FORTRAN, Ada, COBOL, BASIC SNOBOL4, PL/I, Pascal. Begins with a background review of programming languages and the underlying hardware that will execute the given program; then covers the underlying grammatical model for programming languages and their compilers (elementary data types, data structures and encapsulation, inheritance, statements, procedure invocation, storage management, distributed processing, and network programming). Includes an advanced chapter on language semantics--program verification, denotational semantics, and the lambda calculus. For computer engineers and others interested in programming language designs.

    This book provides the design strategy and tactics you need to integrate game mechanics into any kind of consumer-facing website or mobile app. Learn how to use core game concepts, design patterns, and meaningful code samples to a create fun and captivating social environment.Whether you're an executive, developer, producer, or product specialist, Gamification by Design will show you how game mechanics can help you build customer loyalty.Discover the motivational framework game designers use to segment and engage consumersUnderstand core game mechanics such as points, badges, levels, challenges, and leaderboardsEngage your consumers with reward structures, positive reinforcement, and feedback loopsCombine game mechanics with social interaction for activities such as collecting, gifting, heroism, and statusDive into case studies on Nike and Yahoo!, and analyze interactions at Google, Facebook, and ZyngaGet the architecture and code to gamify a basic consumer site, and learn how to use mainstream gamification APIs from Badgeville"Turning applications into games is a huge trend. This book does a great job of identifying the core lasting principals you need to inspire your users to visit again and again." —Adam Loving Freelance Social Game Developer and founder of Twibes Twitter Groups

    I don't have a callsign, not yet. I'm just a caterpillar. A baby moth.I joined up because, well, I've always wanted to pilot an ATLAS mech. What can I say? We're talking three meters of pure, mobile destructive power here. A thousand hydraulically actuated joints. Head-mounted sensor package with built in LIDAR, night vision, flash vision, zoom. Crash protection. Jump jets. Active protection countermeasures. Swappable weaponry. Deployable ballistic shield. Sound like the war machine of your dreams?It is.I finally got my chance to pilot one of these babies on a little deployment out in Mongolia.Under a rather unusual set of circumstances...CATERPILLAR WITHOUT A CALLSIGN is a 7,800 word military science-fiction story set in the ATLAS universe.ATLAS, the full-length military science-fiction novel from Isaac Hooke, is now out. To download your copy, visit: http://amzn.to/1oIndEj

     They are also used in countless industries such as medicine, manufacturing and finance to help companies make better decisions and reduce risk. Whether coded or scratched out by hand, both algorithms are powerful tools that can make a significant impact. This book is a visual introduction for beginners that unpacks the fundamentals of decision trees and random forests. If you want to dig into the basics with a visual twist plus create your own machine learning algorithms in Python, this book is for you.

     Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

    

    The way he looks at me makes me feel powerful. Sexy. It helps that he’s sinfully handsome. From the top of his copper hair to his toned legs. But something always goes wrong in the end. And I wouldn’t be able to deal with the heartbreak. It’s just my luck. Cillian Love at first sight. From the moment I saw her, I was taken. She might want a one-night stand, but no strings attached? Hell no. She’s going to be mine. She’s my lucky charm, and I’m keeping her. THE CURVY HOLIDAYS is a series of steamy, sweet, short standalone stories. There are no cliffhangers and no cheating! If you’re into instalove, hot scenes and happily-ever-afters, this one is for you!

    Written by the lead technical writer at one of Silicon Valley's most exciting companies, Modern Technical Writing is a set of guiding principles and thoughtful recommendations for new and experienced technical writers alike. Not a reference manual, and not comprehensive, it instead serves as an introduction to a sensible writing and publishing process, one that has eluded the profession for too long.

    The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it.In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go.Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.