You get to decide how the story goes, so it will be the most exciting story ever! Each section of the book will offer you a couple choices about what you want to do next. As you make your choices, your experience of reading the story will be different from everyone else's. There are 25 different endings to discover and only some of them will take you to the sequel. Are YOU smart enough to make all the right decisions and find your way to the end? Well, prove it! Or maybe you just want to make all the WORST decisions and see what sort of trouble you can get in. It's really up to you! Make friends with mobs, terrorize the players, maybe protect them, and discover the secrets of the world of Minecraft in this brand new book! You will never have read a book like this before. The Minecraft Zombie Adventure is a great book for any kid ages 8+. It will be a memorable experience for any reader and is also a great experience to read together, deciding on the choices as a team. Interactive fiction, like this book, is a proven way to get reluctant readers into reading heavier fare. It's always exciting because there is always something for the reader to do. What are you waiting for? Read it now!

    The holder of many records, ‘Baz’ is known for speaking his mind. He talks about growing up loving sport more than anything, getting better and better at cricket (although he was a good enough rugby player to keep Dan Carter out of the South Island Schoolboy rugby team) and his uncertain transition to international cricketer. In this explosive autobiography he opens up on the many controversies he has been involved in, including the Chris Cairns affair and the leadership change from Ross Taylor. He exposes behind-the scenes machinations as well as the private moments of exultation, tumult and despair. One of New Zealand’s and the worlds most admired cricketers, he is credited with changing the face of the game internationally.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    A basic idea that proved elusive for hundreds of years and bent the minds of the greatest thinkers in the world, the algorithm is what made the modern world possible. Without the algorithm, there would have been no computer, no Internet, no virtual reality, no e-mail, or any other technological advance that we rely on every day.In The Advent of the Algorithm, David Berlinski combines science, history, and math to explain and explore the intriguing story of how the algorithm was finally discovered by a succession of mathematicians and logicians, and how this paved the way for the digital age. Beginning with Leibniz and culminating in the middle of the twentieth century with the groundbreaking work of Gödel and Turing, The Advent of the Algorithm is an epic tale told with clarity and imaginative brilliance.

    What You Will Learn Design and implement a series of server-side JavaScript patterns so you understand why and when to apply them in different use case scenarios Understand the fundamental Node.js components and use them to their full potential Untangle your modules by organizing and connecting them coherently Reuse well-known solutions to circumvent common design and coding issues Deal with asynchronous code with comfort and ease Identify and prevent common problems, programming errors, and anti-patterns In Detail Node.js is a massively popular software platform that lets you use JavaScript to easily create scalable server-side applications. It allows you to create efficient code, enabling a more sustainable way of writing software made of only one language across the full stack, along with extreme levels of reusability, pragmatism, simplicity, and collaboration. Node.js is revolutionizing the web and the way people and companies create their software.In this book, we will take you on a journey across various ideas and components, and the challenges you would commonly encounter while designing and developing software using the Node.js platform. You will also discover the "Node.js way" of dealing with design and coding decisions.The book kicks off by exploring the fundamental principles and components that define the platform. It then shows you how to master asynchronous programming and how to design elegant and reusable components using well-known patterns and techniques. The book rounds off by teaching you the various approaches to scale, distribute, and integrate your Node.js application.

    The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

    Discover how to * Plan and implement a Web database application * Design and build a MySQL 5 database * Build dynamic HTML forms * Create scripts that store, retrieve, and update database information * Display database information in a Web page

    Will he ever succeed? Find out in Tantri the Mantri. In a South Indian folk tale, a foolish king is determined to stop the flow of a river in The King who Stopped the River. Chamataka is again upto no good, this time at a farm! But Kalia the Crow has his sharp eyes on him and a clever trick up his sleeve.Suppandi receives a postcard with a super secret message in Family Matters.

    Pull it out to quiz your friends and have a little fun. Remember have fun and crack plenty of jokes! Want To Spice It Up A little? Play Men against the Women and the loser has to do something humiliating. Alright Let’s Get This Party Started! All questions are worth 1 point unless noted.

    The heart of this creative process lies in an analogy between proving mathematical theorems by induction and designing combinatorial algorithms. The book contains hundreds of problems and examples. It is designed to enhance the reader's problem-solving abilities and understanding of the principles behind algorithm design.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

     Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.

    Explore the dystopian universe of this classic series of novels.

    

    Green's agile imagination constantly wrong-foots the reader. A delight."-Peter Ingham, The Telegraph"The work of a talented writer having lots of very smart fun"-- S F Winser, Booksquawk.comLittlestar hugely expands on the universe established in Smallworld, with an astounding story arc that follows troopers Beguiled-of-the-Serpent and Only-Begotten as they become embroiled in the second star-spanning war against the Made.Man, a bigoted species brooking no other intelligent life but him- and herself, is spread across a thousand worlds, ruled with a designer-gloved fist by Leader Ottilia Vos. The Made, intelligences both biological and technological, were engineered by human beings, then betrayed and hunted down by them. Now they are back, and this time, it's the Made who have the numbers.Some have no choice in being caught up in events - troopers Beguiled-of-the-Serpent and Only-Begotten, who took Leader Vos's shilling in order to avoid murder charges. Some don't think twice about choices - the tramp trader *Prodigal Son*, unhesitatingly ferrying war refugees back to Earth, mankind's only remaining stronghold. Some people's choices have to be thought through very well indeed - the outlawed dictator Button Humpage, wondering whether to assist the species that betrayed him.Humanity has some surprising allies, many of whom it formerly counted as its fiercest enemies. The biggest question, however, is - what is Littlestar? How did Button Humpage come to control it? And is it the secret weapon that can win the war?