Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.

    In addition to being the most up-to-date communications text available, Simon Haykin has added MATLAB computer experiments.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    Enhancements to this edition include a more thorough coverage of transport processes, plus new or expanded coverage of separation process applications, fluidized beds, non-Newtonian fluids, membrane separation processes and gas-membrane theory, and much more. The book contains 240+ example problems and 550+ homework problems.

    As author Jeffrey Needham points out in this eye-opening book, big data can provide unprecedented insight into user habits, giving enterprises a huge market advantage. It will also inspire organizations to change the way they function."Disruptive Possibilities: How Big Data Changes Everything" takes you on a journey of discovery into the emerging world of big data, from its relatively simple technology to the ways it differs from cloud computing. But the big story of big data is the disruption of enterprise status quo, especially vendor-driven technology silos and budget-driven departmental silos. In the highly collaborative environment needed to make big data work, silos simply don't fit.Internet-scale computing offers incredible opportunity and a tremendous challenge--and it will soon become standard operating procedure in the enterprise. This book shows you what to expect.

    QFT is the only physics theory that makes sense and that dispels or resolves the paradoxes of relativity and quantum mechanics that have confused and mystified so many people.

    A large stone Venus. Nothing unusual about it_except that it was found on an island in the Pacific Northwest. Archaeologist Hannah Green and her shovelbum nephew find themselves in a tangled web of competing interests avaricious land owners, hungry media, and a cult of goddess worshippers while investigating one of the finds of the century. In untangling the mystery of the Washington Venus, Hannah and Sean have to confront questions of archaeological evidence, of ethics, of conflicting interpretation of data, and of the very nature of archaeological truths. Helping them are a cadre of disdainful graduate students who propose various theories processualist, marxist, feminist, postmodernist to explain the bizarre events. Teach your students archaeological theory in a fashion they'll enjoy, while they solve the mystery in Adrian Praetzellis's delightful textbook-as-novel.

    From humorous fishing excursions and frightening bear encounters to snow blinding blizzards and quirky characters, they come face to face with the unpredictable Mother Nature and learn the value of friendship, survival, and solitude in a picturesque but harsh life by the sea. Packed with adventures, challenges, and true Alaskan lifestyle.

    Providing a concise introduction to abstract algebra, this work unfolds some of the fundamental systems with the aim of reaching applicable, significant results.

    Pure Mathematics 1 corresponds to unit P1. It covers quadratics, functions, coordinate geometry, circular measure, trigonometry, vectors, series, differentiation and integration.

    New co-authors--Irl Bivens and Stephen Davis--from Davidson College; both distinguished educators and writers.* More emphasis on graphing calculators in exercises and examples, including CAS capabilities of graphing calculators.* More problems using tabular data and more emphasis on mathematical modeling.

    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    No, hang on, let's make this interesting. Between zero and infinity. Even if you stick to the whole numbers, there are a lot to choose from - an infinite number in fact. Throw in decimal fractions and infinity suddenly gets an awful lot bigger (is that even possible?) And then there are the negative numbers, the imaginary numbers, the irrational numbers like pi which never end. It literally never ends.The world of numbers is indeed strange and beautiful. Among its inhabitants are some really notable characters - pi, e, the "imaginary" number i and the famous golden ratio to name just a few. Prime numbers occupy a special status. Zero is very odd indeed: is it a number, or isn't it?How Numbers Work takes a tour of this mind-blowing but beautiful realm of numbers and the mathematical rules that connect them. Not only that, but take a crash course on the biggest unsolved problems that keep mathematicians up at night, find out about the strange and unexpected ways mathematics influences our everyday lives, and discover the incredible connection between numbers and reality itself. ABOUT THE SERIESNew Scientist Instant Expert books are definitive and accessible entry points to the most important subjects in science; subjects that challenge, attract debate, invite controversy and engage the most enquiring minds. Designed for curious readers who want to know how things work and why, the Instant Expert series explores the topics that really matter and their impact on individuals, society, and the planet, translating the scientific complexities around us into language that's open to everyone, and putting new ideas and discoveries into perspective and context.

    Sousa discusses the cognitive mechanisms for learning mathematics and the environmental and developmental factors that contribute to mathematics difficulties. This award-winning text examines:Children's innate number sense and how the brain develops an understanding of number relationships Rationales for modifying lessons to meet the developmental learning stages of young children, preadolescents, and adolescents How to plan lessons in PreK-12 mathematics Implications of current research for planning mathematics lessons, including discoveries about memory systems and lesson timing Methods to help elementary and secondary school teachers detect mathematics difficulties Clear connections to the NCTM standards and curriculum focal points

    But there is one other crucial factor, which is much less well known. The same team had done it before. The truth is that many of those most closely involved in cracking the Enigma code – Alistair Denniston, Frank Birch, Dilly Knox – had wrestled with German naval codes for most of the First World War. By the end of the war they had been successfully cracking a new code every day, from their secret Room 40 at the Old Admiralty Building, in a London blacked out for Zeppelin Raids.The techniques they developed then, the ideas that they came to rely on, the people they came to trust, had been developed the hard way, under intense pressure and absolute secrecy during World War I. Before Enigma tells their story and explains how they managed to crack the supposedly indecipherable code. The book outlines the capture of the Magdeburg and the Hobart, discusses the use of cracked codes to bring German fleets to battle at Dogger Bank and Jutland, and focuses on individuals such as Winston Churchill and Admiral Sir Reginald ‘Blinker’ Hall and their importance in the development of a British naval code tradition. Praise for David Boyle ‘Exhilarating’ - Daily Mail David Boyle is a British author and journalist who writes mainly about history and new ideas in economics, money, business and culture. He lives in Crystal Palace, London. His books include Alan Turing: Unlocking the Enigma, Operation Primrose, Rupert Brooke: England’s Last Patriot, Peace on Earth: The Christmas Truce of 1914, Jerusalem: England’s National Anthem and Unheard Unseen: Warfare in the Dardanelles .Endeavour Press is the UK's leading independent digital publisher. For more information on our titles please sign up to our newsletter at www.endeavourpress.com. Each week you will receive updates on free and discounted ebooks. Follow us on Twitter: @EndeavourPress and on Facebook via http://on.fb.me/1HweQV7. We are always interested in hearing from our readers. Endeavour Press believes that the future is now.