Incorporated in the textbook are useful illustrations and exceptional photographs of complex sailing concepts. There are also quizzes at the end of each chapter, and a glossary to help those new to sailing to navigate their way through the extensive nautical terminology.

    Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, intuitive visual representations of real-world examples are used to show how Bayes' rule is actually a form of commonsense reasoning. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to gain an intuitive understanding of Bayesian analysis. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams.Stone's book is renowned for its visually engaging style of presentation, which stems from teaching Bayes' rule to psychology students for over 10 years as a university lecturer.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    It exposes the grim reality of everyday soldiering for the 'grunts on the ground'. After the tragic death of his brother, and in the dark days following 9/11, McLaughlin felt compelled to fulfil his lifelong ambition to serve in the army. He followed his late brother into the elite Royal Green Jackets and passed the arduous Combat Infantryman's Course at the age of 31. Thereafter, McLaughlin found himself submerged in a world of casual violence. Squaddie is a snapshot of infantry soldiering in the twenty-first century. It takes us into the heart of an ancient institution that is struggling to retain its tough traditions in a rapidly changing world. All of the fears and anxieties that the modern soldier carries as his burden are laid bare, as well as the occasional joys and triumphs that can make him feel like he is doing the best job in the world. This is an account of army life by someone who has been there and done it.

    Visually engaging, enticing and current examples with an overall focus on business.Legal Environment of Business and E-Commerce; Torts, Crimes, and Intellectual Property; Contracts and E-Commerce; Domestic and International Sales and Lease Contracts; Negotiable Instruments and E-Money; Credit, Secured Transactions, and Bankruptcy; Agency and Employment; Business Organizations and Ethics; Government Regulation; Property; Special Topics; Global EnvironmentMARKET Business Law continues its dedication to being the most engaging text for readers by featuring a visually appealing format with enticing and current examples while maintaining its focus on business.

    Looking for a sure cure to bunkerphobia? It's here. A one-hour golf lesson that's 100 percent guaranteed to make you a better golfer? Ditto. Want to know why you should occasionally leave your big dog in your trunk, how to watch your weight, and what golf and sex have in common? You came to the right book.And while he's busy explaining all these and many other things, Daly also tells you why you should keep your head out of the game, let your belly lead your hands, listen to your right foot, check your ball position—and buy a hybrid (the club, not the car).Following in the spike prints of his 2006 bestselling autobiography, My Life In and Out of the Rough, Golf My Own Damn Way is an off-the-wall and intensely personal yet imminently practical and accessible tip sheet on how to cut ten strokes off your score—now.Two things are certain: you've never seen a golf instructional book quite like this one, and you'll never need another one.Fairways and greens, Pard!

    You may find it for free on the web. Purchase of the Kindle edition includes wireless delivery.

    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.

    Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations.You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tablesStudy abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machinesGet starter code and solutions to help you re-implement and extend original experiments in complexityExplore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topicsExamine case studies of complex systems submitted by students and readers

    

    If you wouldlike to purchase both the physical text and MyProgrammingLab search for ISBN-10: 0132989999/ISBN-13: 9780132989992. That packageincludes ISBN-10: 0132855836/ISBN-13: 9780132855839 and ISBN-10: 0132891557/ISBN-13: 9780132891554. MyProgrammingLab should only be purchased when required by an instructor. In "Starting Out with Java: From Control Structures through Objects", Gaddis covers procedural programming control structures and methods before introducing object-oriented programming. As with all Gaddis texts, clear and easy-to-read code listings, concise and practical real-world examples, and an abundance of exercises appear in every chapter. "

    and trying, and trying some more? How far do you go to achieve your dream of having children?So Close is the heart wrenching, exhilarating, devastatingly funny story of Tertia Albertyn's battle with infertility. Tertia wanted a baby so badly she went through nine IVFs. Most people give up after the third.I don't think I am being brave at all. I am just too terrified NOT to try again.In her worst nightmare she could never have imagined that making a baby would take her four years, each treatment bringing her and her husband Marko closer and closer to creating their family.During Tertia's journey everything that can go wrong does go wrong. Until, finally, everything goes just right.Tertia is as hilarious as she is irrepressible, as approachable as she is knowledgeable. If you are struggling with infertility, have triumphed over infertility or have felt empathy with someone who is going through this experience, you will find a friend in Tertia.

    Aimed at accountants or readers of other career paths, this book helps them build their decision making skills and understand how to use accounting information to make quality business decisions.

    This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.

    Women and Sabarimala is a rare book and is written from a woman’s perspective, explaining the nature of the temple through India’s traditional knowledge systems, such as Ayurveda, Chakras, Tantra and Agama Shastra. At the same time, the author’s personal experiences simplify the understanding of these deep sciences, providing a glimpse into how temples impact the human physiology and, in particular, women’s menstrual cycles. This book will change the way Hindu temples, especially Sabarimala, are perceived and experienced.