He includes information on Java Platform Standard Edition 6 (Java SE 6) and offers complete coverage of the Java language, its syntax, keywords, and fundamental programming principles.

    Is it magical Internet money? Where does it come from? Who controls it? Why is it important? For me, understanding all the things that come together to make Bitcoin work - the physics, math, cryptography, game theory, economics, and computer science - was a profound moment. In this book, I hope to share this knowledge with you in a very simple and easy to understand way. With nothing but a high school level math background, we will walk through inventing bitcoin, step by step.

    

    

    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.

    Remarkable for his range of thought and his mastery of treatment, Archimedes addressed such topics as the famous problems of the ratio of the areas of a cylinder and an inscribed sphere; the measurement of a circle; the properties of conoids, spheroids, and spirals; and the quadrature of the parabola. This edition offers an informative introduction with many valuable insights into the ancient mathematician's life and thought as well as the views of his contemporaries. Modern mathematicians, physicists, science historians, and logicians will find this volume a source of timeless fascination.

    As well as lucid descriptions of all the topics and many worked examples, it contains over 800 exercises. New stand-alone chapters give a systematic account of the 'special functions' of physical science, cover an extended range of practical applications of complex variables, and give an introduction to quantum operators. Further tabulations, of relevance in statistics and numerical integration, have been added. In this edition, half of the exercises are provided with hints and answers and, in a separate manual available to both students and their teachers, complete worked solutions. The remaining exercises have no hints, answers or worked solutions and can be used for unaided homework; full solutions are available to instructors on a password-protected web site, www.cambridge.org/9780521679718.

    Think big. Think the unthinkable!' As you'll discover in his incomparable memoir, inventor, mechanic, TV presenter and walking tall as the definition of the British eccentric, Edd China sees things differently.An unstoppable enthusiast from an early age, Edd had 35 ongoing car projects while he was at university, not counting the double-decker bus he was living in. Now he's a man with not only a runaround sofa, but also a road-legal office, shed, bed and bathroom. His first car was a more conventional 1303 Texas yellow Beetle, the start of an ongoing love affair with VW, even though it got him arrested for attempted armed robbery.A human volcano of ideas and the ingenuity to make them happen, Edd is exhilarating company. Join him on his wild, wheeled adventures; see inside his engineering heroics; go behind the scenes on Wheeler Dealers.Climb aboard his giant motorised shopping trolley, and let him take you into his parallel universe of possibility.

    Targeted at the novice market, this self-instruction guide to electronics and electricity has been fully updated to include the latest emerging technologies, including wireless communications, computers and the Internet.

    Turing Mathematician Alan Turing invented an imaginary computer known as the Turing Machine; in an age before computers, he explored the concept of what it meant to be "computable," creating the field of computability theory in the process, a foundation of present-day computer programming.The book expands Turing's original 36-page paper with additional background chapters and extensive annotations; the author elaborates on and clarifies many of Turing's statements, making the original difficult-to-read document accessible to present day programmers, computer science majors, math geeks, and others.Interwoven into the narrative are the highlights of Turing's own life: his years at Cambridge and Princeton, his secret work in cryptanalysis during World War II, his involvement in seminal computer projects, his speculations about artificial intelligence, his arrest and prosecution for the crime of "gross indecency," and his early death by apparent suicide at the age of 41.

    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.

    Railway Transpor tations and its Development 2. Railway Terminology 3. Railway Track 4. Stresses in Railway Track 5. Traction and Tractive Resistances 6. Rails 7. Rail Joints and Welding of Rails 8. Creep of Rails 9. Sleepers 10. Track Fittings and Fastenings 11. Ballast 12. Subgrade and Embankments 13. Track Alignments 14. Surveying 15. Geometric Design of the Track 16. Points and Crossings 17. Track Junctions 18. Stations and Yards 19. Equipment in Station Yards 20. Signaling and Control Systems 21. Interlocking of Signals and Points 22. Construction and Renewal of Track 23. Track Drainage 24. Conventional Maintenance of Track (or Manual Maintenance) 25. Railway Track Standards 26. Safety in Railways 27. Underground Railways and Tunnelling. PART- II MODERNIZATION OF RAILWAY TRACK AND FUTURE TRENDS 28. Modern Developments in Railways 29. Development of High and Super High Speeds 30. Modernization of Track for High Speeds 31. Modern Methods of Track Maintenance PART- III RAILWAY ADMINISTRATION, ECONOMICS AND FINANCE 32. Administration of Indian Railways 33. Railway Expenses, Rates and Fares 34. Material Management.

    All of the fundamentals of robotics are covered--robotics analysis; including kinematics, kinetics and force control, and trajectory planning of robots; its sub-systems such as actuators, sensors, and vision systems; as well as robotics applications. "Introduction to Robotics" also includes many subjects related to mechatronics, microprocessor actuator control, integration of sensors, vision systems, and fuzzy logic. For practicing mechanical engineers, electronic and electric engineers, computer engineers, and engineering technologists who would like to learn about robotics.

    Miranda Summerlin finds that she has been given nanites that give her enhanced mental abilities and extraordinary hand-to-eye coordination. She attends the nearby Space Academy where she uses her mental genius to work on cutting edge astrophysics and she joins the school shooting competition team after discovering she can hit wherever she aims at on a target. Intending to keep her skills low key, Miranda must step up to prevent a terrorist attack against the school that only she has the skills to do so. Miranda has also drawn the attention of a girl on the soccer team who becomes her nemesis at the school. While playing pool at a school party, Miranda lets her irritation with her nemesis cause her to let some of her skills slip thru to others. But Miranda will soon be faced with the need to use many of her skills and in so doing, Miranda will come to the attention of her true nemesis, a rogue Organization that wants her nanites. She will need help to escape from their agent. In the process, she will discover her true identity. But what is the cost for her rescue? How will she deal with the Organization? >>>The first in the Near Future series, Awakening is a near future sci-fi thriller in a world that combines science that just might be possible soon with psychic visions and an evil Organization that is backed by an unknown power. Coming soon, books 2 and 3 in the series and a novella too! Sign up for my Reader's List at http://randalsloan.com/nearfuture/

    Myerson introduces, clarifies, and synthesizes the extraordinary advances made in the subject over the past fifteen years, presents an overview of decision theory, and comprehensively reviews the development of the fundamental models: games in extensive form and strategic form, and Bayesian games with incomplete information.Game Theory will be useful for students at the graduate level in economics, political science, operations research, and applied mathematics. Everyone who uses game theory in research will find this book essential.