I have taught these simple processes to men and women all over the world, and recently over a thousand men and women of all religious affiliations attended a special class in Los Angeles where I presented the highlights of what is offered in the pages of this book. Many came from distances of two hundred miles for each class lesson. The special features of this book will appeal to you because they show you why oftentimes you get the opposite of what you prayed for and reveal to you the reasons why. People have asked me in all parts of the world and thousands of times, ?Why is it I have prayed and prayed and got no answer?? In this book you will find the reasons for this common complaint. The many ways of impressing the subconscious mind and getting the right answers make this an extraordinarily valuable book and an ever present help in time of trouble.

    The book is unique among popular books on mathematics in combining an engaging, easy-to-read history of the subject with a comprehensive mathematical survey text. Intended, in the author's words, "for the benefit of those who never studied the subject, those who think they have forgotten what they once learned, or those with a sincere desire for more knowledge," it links mathematics to the humanities, linguistics, the natural sciences, and technology.Contains more than 1000 original technical illustrations, a multitude of reproductions from mathematical classics and other relevant works, and a generous sprinkling of humorous asides, ranging from limericks and tall stories to cartoons and decorative drawings.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    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.

    The authors help students learn key sociological concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables.

    It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.

    With this book you will learn how to tap into every Kindle Fire feature, including many of the hidden ones not discussed in other books. From setting up your Kindle Page, managing your music, watching movies, and downloading content - this book covers everything. The task based full-color format allows you to quickly and easily find the exact task you want to accomplish and walks you through it in a delightfully concise and visual manner. My Kindle Fire makes it easy for you to:• Master all the basics, fast: reading, playing, watching, browsing, and more• Tweak your Kindle Fire for quicker access and longer battery life• Sample best-seller book chapters for free• Mark up any eBook with highlights, notes, and bookmarks• Convert your personal documents for use on Kindle Fire• Discover Calibre, a powerful eBook management tool• Control even the largest music libraries• Get instant answers from Wikipedia, and from Kindle Fire’s built-in dictionary• Listen to personalized Internet radio stations created just for you• Use your Kindle Fire as a digital photo frame• Prevent unwanted subscription charges• Set up any email account to work on your Kindle Fire• Explore any web content with Amazon’s innovative Silk browser• Use Amazon Cloud to get your stuff anywhere—even if you left your Kindle at home• And much much more…Unlike many other guides which might only briefly mention or skip over some very import Kindle Fire features My Kindle Fire covers everything. Here are just a few of the things you'll find in My Kindle Fire that aren't covered in other guides: • Full coverage of Calibre, a free application for Mac or PC that helps manage your eBook library• A large number of walkthroughs for managing music playlists, including how to use cloud playlists. • How to reinstall multiple apps at once in case you reset your Kindle Fire. • Step-by-step walkthroughs on configuring all types of email accounts. • Coverage on handling attachments in your email application. • Importing contacts from your existing email application or cloud service and how you can export your contacts in order to back them up. • How to use Copy and Paste on the Kindle Fire. • How to use social networking integration with Facebook and others. • Walkthroughs on using the Gallery app, Pandora, Audible, and other popular apps. • Shows you how to access files on other computers in your house right from your Kindle Fire.

    It’s time we stand face-to-digital-face with the true powers and limitations of the algorithms that already automate important decisions in healthcare, transportation, crime, and commerce. Hello World is indispensable preparation for the moral quandaries of a world run by code, and with the unfailingly entertaining Hannah Fry as our guide, we’ll be discussing these issues long after the last page is turned.

    But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

    It's goal is the successful design and operation of chemical reactors. This text emphasizes qualitative arguments, simple design methods, graphical procedures, and frequent comparison of capabilities of the major reactor types. Simple ideas are treated first, and are then extended to the more complex.

    Offering time-tested problems, conceptual and visual pedagogy, and a state-of-the-art media package, this 11th edition looks to the future of university physics, in terms of both content and approach.

    As well as sharing an insight into the preparation and life of a Geisha, the novel explores the seldom known life and training of a Buddhist monk within Tibet's monasteries. Two souls born thousands of miles apart. Together each shall follow a similar path.Japan, 1876: A girl is born, her life path to become the famed Geisha she is destined to be. Tibet, 1876: A boy is born, ordained to be the revered Lama he is recognised as. San Francisco, 1900: At the dawning of a new century fate brings them together, a lifetime away from all they have ever known.

    Three years after being chased from office, the former president discovers the identity of the man who released his secret file. The ex-President begins to exact revenge while plotting his return to power. A fatwa makes CIA pilot Duncan Hunter the most wanted man in America. Then an airliner disappears over the Pacific Ocean. The new President gives the CIA two time-sensitive missions: find and eliminate his traitorous predecessor, and stop a self-radicalized computer scientist before another airliner goes missing. Duncan Hunter is in the race of his life to stop a jumbo jet from crashing. The CIA believes they have finally located the former president. All roads lead to Dubai where a showdown between good and evil begins on the top floor of the world’s tallest building.

    Learn the Alphabet and pronunciation as well as useful phrases in 8 categories, such as greetings, travel and directions, making friends to business and emergencies. Download, read and enjoy your vacation like never before.