In this new, innovative overview textbook, the authors put special emphasis on the deep ideas of mathematics, and present the subject through lively and entertaining examples, anecdotes, challenges and illustrations, all of which are designed to excite the student's interest. The underlying ideas include topics from number theory, infinity, geometry, topology, probability and chaos theory. Throughout the text, the authors stress that mathematics is an analytical way of thinking, one that can be brought to bear on problem solving and effective thinking in any field of study.

    What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such issues for decades. And the solutions they've found have much to teach us.In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

    

     All of us WANT to achieve optimum wellness, but not all of us know how. There are some basic levers that drive health in one of two directions: towards perfection, or towards chronic degenerative disease. If you understand the principles that govern your physiology, you can achieve complete mastery over your own body composition and become the best possible version of yourself. The P:E Diet is the SIMPLEST and MOST PRACTICAL diet and exercise book ever written. Once you understand the core tenets of your biology, you will know HOW to increase your lean mass while decreasing your fat mass—and you will know WHY it works. The P:E Diet breaks down every single dietary strategy into one incredibly simple metric: PROTEIN versus ENERGY. The protein to energy ratio explains EVERY SINGLE DIET PHENOMENON. The P:E Diet breaks down the cause of the obesity epidemic and the solution using this one powerful weapon. This is not ‘paleo’ or ‘keto’ or ‘low carb’ or ‘low fat’ or ‘plants versus animals’ or ‘calorie counting’—instead this is one MASTER CONCEPT that explains the success of EVERY SINGLE DIETARY STRATEGY out there. This book completely TRANSCENDS ALL OF THE DIET CAMPS and explains why they ALL offer some value—and once you understand this underlying principle, you unlock EVERY DIET. The P:E Diet explains EXACTLY why FOOD CHOICE is everything — once you choose WHAT to eat, your body will tell you HOW MUCH to eat. This approach teaches you how to eat INTUITIVELY to achieve your goals, without unnecessary tracking or micromanaging quantity.
 The exercise portion of this book is just as revelatory: all you need for the optimum adaptive response to exercise is to generate MAXIMUM TENSION in your muscles for the MAXIMUM TIME possible. All exercise can be broken down into three exercise motions: PUSH, PULL, and LEGS. This requires NO EQUIPMENT WHATSOEVER and can be accomplished with bodyweight only. By maximizing INTENSITY and FREQUENCY you can build muscle with absolute MINIMUM TIME. Packed with hundreds of photos and illustrations, The P:E Diet is a life-changing knowledge bomb that absolutely anyone and everyone should read. PLEASE NOTE: MAY NOT WORK ON ALL KINDLE DEVICES! Will work well on the Kindle App but may not work on all Kindle devices.

    In The Perfect Bet, mathematician and award-winning writer Adam Kucharski tells the astonishing story of how the experts have succeeded, revolutionizing mathematics and science in the process. The house can seem unbeatable. Kucharski shows us just why it isn't. Even better, he demonstrates how the search for the perfect bet has been crucial for the scientific pursuit of a better world.

    It describes how to index your data, including types you definitely need to know such as MS Word, PDF, HTML, and XML. It introduces you to searching, sorting, filtering, and highlighting search results.Lucene powers search in surprising placesWhat's Inside- How to integrate Lucene into your applications- Ready-to-use framework for rich document handling- Case studies including Nutch, TheServerSide, jGuru, etc.- Lucene ports to Perl, Python, C#/.Net, and C++- Sorting, filtering, term vectors, multiple, and remote index searching- The new SpanQuery family, extending query parser, hit collecting- Performance testing and tuning- Lucene add-ons (hit highlighting, synonym lookup, and others)

    After being arrested in the US in possession of 6,500 ecstasy tablets he served time in prison on both sides of the Atlantic.On his release he started a business with the help of the Prince's Trust. A business that he grew and sold four thousand days after his release from prison, making him a millionaire many times overRead his entertaining and inspiring story and realise that, no matter what your background, you too can chart your own course from adversity to success.

    What they don't realize—and what Daniel Hillis's short book brilliantly demonstrates—is that computers' seemingly complex operations can be broken down into a few simple parts that perform the same simple procedures over and over again.Computer wizard Hillis offers an easy-to-follow explanation of how data is processed that makes the operations of a computer seem as straightforward as those of a bicycle. Avoiding technobabble or discussions of advanced hardware, the lucid explanations and colorful anecdotes in The Pattern on the Stone go straight to the heart of what computers really do.Hillis proceeds from an outline of basic logic to clear descriptions of programming languages, algorithms, and memory. He then takes readers in simple steps up to the most exciting developments in computing today—quantum computing, parallel computing, neural networks, and self-organizing systems.Written clearly and succinctly by one of the world's leading computer scientists, The Pattern on the Stone is an indispensable guide to understanding the workings of that most ubiquitous and important of machines: the computer.

    By building a network of computers, he believed the government could avoid buying so many new ones for academic research. From these modest Cold War beginnings a global networking industry has flourished, creating virtual communities, online shopping, the ubiquitous e-mail, and immense fortunes. Stephen Segaller's timely book draws on interviews with more than seventy of the pioneers who have used their technological genius and business skills to make incompatible systems work together, to make networking user-friendly, and to create a new global communications medium that rivals the telephone system or television in its scope and reach.Nerds 2.0.1 tells the dramatic, often comical story of how the world's computers have come to be wired together over the last thirty years. This paperback reprint contains new material to update the picture of this still-evolving saga.

    She had no intention of staying long; she simply wanted to see if the rumors were true. That initial trip changed Smolker’s life; it commenced a fifteen-year scientific obsession that has culminated in this fascinating scientific adventure story–the first-ever intimate account of dolphin life in the wild.To Touch A Wild Dolphin is a seminal work that radically alters our fundamental understanding of these enigmatic creatures. Learning to identify scores of dolphins by their dorsal fin, Smolker and her team of scientists were able to conduct close and consistent studies that revealed the dolphin to be even more intelligent than we’d previously suspected. And while they were every bit as playful as we’ve known them to be, they also proved to have a dark and alarmingly violent side. But more than just a document on dolphins, this book is a touchingly personal look at the life of a scientist, at the rigors and sacrifices but also the wonders and joys of unending days in the field. Written with prose poetic and pristine, this book is nothing short of a landmark.

    The first volume in this annual series of the best writing by Americans, meticulously selected by bestselling author James Gleick, one of the foremost chronicles of scientific social history, debuts with a stellar collection of writers and thinkers.  Many of these cutting-edge essays offer glimpses of new realms of discovery and thought, exploring territory that is unfamiliar to most of us, or finding the unexpected in the midst of the familiar.  Nobel Laureate physicist Steven Weinberg challenges the idea of whether the universe has a designer; Pulitzer Prize winner Natalie Angier reassesses caveman (and-woman) couture; bestselling author and Darwinian theorist Stephen Jay Gould makes a claim for the man whose ideas Darwin discredited; Timothy Ferris proposes a realistic alternative to wrap-speed interseller travel; neurologist and bestselling author Oliver Sacks reminisces about his first loves-chemistry and math.  This diverse, stimulating and accessible collection is required reading for anyone who wants to travel to the frontier of knowledge.

    This is done in a way that is not only easy to understand, but is actually fun! Professors and engineers, with high school and college students following closely, comprise the largest percentage of our readers. It is a must-have for anyone interested in music, mathematics, physics, engineering, or complex science. Dr. Yoichiro Nambu, 2008 Nobel Prize Winner in Physics, served as a senior adviser to the English version of Who is Fourier? A Mathematical Adventure.

    Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

    Its humorous title begins with the punch line of a classic joke about someone who is baffled by technology. It was written by a 40-year computer veteran who wants to take the mystery out of computers and allow everyone to gain a true understanding of exactly what computers are, and also what they are not. Years of writing, diagramming, piloting and editing have culminated in one easy to read volume that contains all of the basic principles of computers written so that everyone can understand them. There used to be only two types of book that delved into the insides of computers. The simple ones point out the major parts and describe their functions in broad general terms. Computer Science textbooks eventually tell the whole story, but along the way, they include every detail that an engineer could conceivably ever need to know. Like Momma Bear's porridge, But How Do It Know? is just right, but it is much more than just a happy medium. For the first time, this book thoroughly demonstrates each of the basic principles that have been used in every computer ever built, while at the same time showing the integral role that codes play in everything that computers are able to do. It cuts through all of the electronics and mathematics, and gets right to practical matters. Here is a simple part, see what it does. Connect a few of these together and you get a new part that does another simple thing. After just a few iterations of connecting up simple parts - voilà! - it's a computer. And it is much simpler than anyone ever imagined. But How Do It Know? really explains how computers work. They are far simpler than anyone has ever permitted you to believe. It contains everything you need to know, and nothing you don't need to know. No technical background of any kind is required. The basic principles of computers have not changed one iota since they were invented in the mid 20th century. "Since the day I learned how computers work, it always felt like I knew a giant secret, but couldn't tell anyone," says the author. Now he's taken the time to explain it in such a manner that anyone can have that same moment of enlightenment and thereafter see computers in an entirely new light.

    Highly recommended for graduate-level libraries.' ChoiceThis highly successful text, which first appeared in the year 1972 and has continued to be popular ever since, has now been brought up-to-date by incorporating the remarkable developments in the field of 'phase transitions and critical phenomena' that took place over the intervening years. This has been done by adding three new chapters (comprising over 150 pages and containing over 60 homework problems) which should enhance the usefulness of the book for both students and instructors. We trust that this classic text, which has been widely acclaimed for its clean derivations and clear explanations, will continue to provide further generations of students a sound training in the methods of statistical physics.