Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas of eScience such as databases, workflow management, visualization, and cloud-computing technologies. This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    

    For good. Quitting sugar in the real world is hard. Sugar is everywhere and your friends think you’re mad for not eating cake. You’ve done the 8 week detox plan and part of you still craves chocolate so much that you develop a mild twitch when you see a brightly coloured wrapper on the shelves in front of you. Deeply addictive, sugar is everywhere. Even added to the most unlikely foods, the majority of us exceed the recommended daily intake without even realising it. Instead of teaching you how to cook fake cake, or pretending that quinoa really is an exciting grain that will revolutionise your view on salads, this book guides you through the myths about sugar in our food and through the realities of addiction. The 9 step action plan then helps you make the change and really stick to it. Even if you’re not quite ready to eliminate all sugar from your life, this book contains practical tips to help you shop wisely, create good habits and sustain better lifestyle choices.

    He has perfected the perfect way for anyone to have a garden without weeding, bending over, or using chemicals. If you follow his step by step methods and suggestions you will be assured to grow a beautiful and productive garden this year, even if you have never gardened before. The best part is that if the soil in your backyard is less than productive it doesn't matter at all. If you have sunlight and water, you will have a great garden this year. From the Arctic Circle in Northern Alaska to the heat of the desert in Saudi Arabia, people are using this method, and having great success. The booklet is full color with 78 pages, and has a perfect bind booklet binding.

      With over 100 recipes for Phase 1, another 100 for Phase 2 and then just a few seriously special Phase 3 cheats, this is the ultimate diet-recipe book.   You can have burgers, seafood risotto and authentic Indian curry in Phase 1; boeuf bourguignon, mushroom stroganoff and cream berry pudding in Phase 2 and the most sensational dark chocolate mousse in Phase 3.   This features Harcombe friendly versions of the classic dishes – French onion soup, coq au vin, chilli con carne and the classic accompaniaments – mayonnaise, chips and cauliflower cheese.   If you want to eat real food, lose weight and gain health – this is a must for your kitchen shelf.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    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.

    Fundamentals of Data Structures in C++ offers a complete rendering of basic data structure implementations, enhanced by superior pedagogy and astute analyses.

    This book teaches you how to conduct examinations by explaining what digital forensics is, the methodologies used, key technical concepts and the tools needed to perform examinations. Details on digital forensics for computers, networks, cell phones, GPS, the cloud, and Internet are discussed. Readers will also learn how to collect evidence, document the scene, and recover deleted data. This is the only resource your students need to get a jump-start into digital forensics investigations.This book is organized into 11 chapters. After an introduction to the basics of digital forensics, the book proceeds with a discussion of key technical concepts. Succeeding chapters cover labs and tools; collecting evidence; Windows system artifacts; anti-forensics; Internet and email; network forensics; and mobile device forensics. The book concludes by outlining challenges and concerns associated with digital forensics. PowerPoint lecture slides are also available.This book will be a valuable resource for entry-level digital forensics professionals as well as those in complimentary fields including law enforcement, legal, and general information security.

    The book teaches MATLAB as a technical programming language showing students how to write clean, efficient, and well-documented programs. It makes no pretense at being a complete description of all of MATLAB's hundreds of functions. Instead, it teaches students how to locate any desired function with MATLAB's extensive on line help facilities. Overall, students develop problem-solving skills and are equipped for future courses and careers using the power of MATLAB.

    Windows expert Andy Rathbone walks you step by step through the most common Windows 7 tasks, including managing files, applications, media, and Internet access. You'll learn how to navigate the interface, customize the desktop, and work with the file system. You'll then go deeper into the system, discovering new features and improvements, and finding tips and techniques for getting the most out of Windows 7. Covers basic management of applications, files, and data; creating and printing documents; setting up an Internet connection and e-mail account; and online security Includes specially produced videos explaining features and illustrating techniques in greater depth Explores using Windows to edit and manage audio, video, and photo files, and how to create CDs, DVDs, and playlists with Media Center Helps you tweak and customize Windows 7 to operate your way and set up user accounts, build a home network, and maintain your PC Provides troubleshooting advice, helps you find missing files and use the Help system, and explains common error messages Windows 7 For Dummies, Enhanced Edition will have you up and running on the newest version of Windows quickly and easily.

    Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. "Introduction to Machine Learning" is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. It discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The book can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.After an introduction that defines machine learning and gives examples of machine learning applications, the book covers supervised learning, Bayesian decision theory, parametric methods, multivariate methods, dimensionality reduction, clustering, nonparametric methods, decision trees, linear discrimination, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, combining multiple learners, and reinforcement learning.

    Based on years of personal research and client feedback, best-selling author, naturopath and health coach Kylie Ansett answers the question;What is the secret to looking and feeling younger? You will learn: • How to have whiter teeth without using chemicals • How to firm and tone your face for free • How to wake early feeling refreshed and energized every day • How to have the energy of a 25 year old without taking a single supplement • Detox methods that will take years off your face and decades off your body • And much, much more! Do you ever hear yourself making the excuse: “I’m too old for that!”? Do you look in the mirror some days and not recognize who is looking back? (Other days you feel just as old as you look!) Every day more grey hairs. And wrinkles. You don’t have as much energy. You’re not as bendy as you used to be. Skin that used to be firm is, well, less firm. Is there a way? Can you recapture the energy, the vitality and the health of your younger days? Can you start looking younger instead of older every day? Is there a way to turn back time? Look at what others have said about 10 Years Younger: Way more than just about looking good. Straightforward and practical advice for anyone who wants to be more conscious about their health, looks and life choices. - Harmony Davis Interesting, heartfelt, practical and humorous. A great reminder of how easy, cheap and effective looking younger can be. An excellent resource to keep us healthy and younger looking. - Deborah Sutton There is something in here for every woman; all the tips are simple, inexpensive and easy to implement. Read this and your body will thank you. - Julie Extremely entertaining, informative and engaging. I felt like I’d just given myself an enjoyable self-pampering session. It is a workout, a spring clean & rejuvenation for the body and mind. - Melia Vlatko-Rulo Both practical and compelling - gives the most amazing ideas for how to look and feel 10 years younger. What I like the best is the 'try it on' approach. Try them all and see what fits - what a brilliant idea! - Jane E Infante A genuine and honest approach to looking younger; and good health is at the heart of it. - Coral For those who can't or don't want to try 'artificial' ways of staying young, this is a really good book. Many techniques are simple and quick, with proven effects on your body and mind. Well written and concise, with good summaries at the end of each chapter. - J This is an upbeat and original book, about aging well. I liked the format this material was presented in, providing passages followed by an action plan. If you don't envision/equate growing older as a steady, downward slide to multiple meds, limited mobility and sagging jowls, give this one a try! - Geraldine Helen Harman Every ingenious tip was made with either ingredients I could easily find in my cupboard, or no ingredients at all, so I could begin straight away. - Taya M A holistic viewpoint, rather than quick fixes, creams and lotions. Age is as much about attitude and the way we see life.

     Chess is one of the world’s most popular board games, and is played by millions of people from all walks of life in parks, homes, online and tournaments. This two-player game is played on a checkered board with 64 squares arranged in an eight by eight grid called a chessboard. The game begins with each player possessing 16 pieces, 8 pawns, two rooks (sometimes called castles), two bishops, two knights, a queen and a king. The different player’s pieces are colored differently and are usually either black or white, though colors may vary. Regardless of the color variation though, each ‘team’ is referred to as either black or white. The objective of the game is to ‘checkmate’ the opponent’s king by placing it in such a position that it cannot escape capture. There are other methods to winning the game, such as when an opponent forfeits or resigns from the match. Forfeitures are normally as a result of the opponent losing too many pieces, or if a checkmate is seen as inevitable. There are also circumstances where the game ends in a draw for various reasons, meaning that neither player wins. The first official world chess championship was held in 1886 between Wilhelm Steinitz and Johannes Zukerfort. The victor and thus the first official World Champion was Wilhelm Seinitz. Since the creation of the World Chess Federation in Paris in 1924, the best chess players in the world have been awarded the title of Grandmaster, which is the highest accolade a chess player can get apart from world champion. The latter half of the 20th century saw computers being programmed to play chess, with many home computers now being able to play with such a high level of sophistication that they can outwit some of the best human players. The first computer to ever beat a reigning world champion was the computer Deep Blue, which beat Garry Kasparov in a match in 1997. What You're Going to Learn: Origins and History of Chess Rules and Notations Movements in the Game The Pieces, Their Movements and Values Chess Strategy and Tactics Tips for Beginners What Not to Do More Tactics ...And Much More! Ready to Play Like a Pro ? * * * DOWNLOAD YOUR COPY TODAY * * *