The photo looks completely out of place on the FBI Ten Most Wanted Fugitives list where it’s been since December, 8, 2007. For eight of those years, Jason appeared directly beside Osama Bin Laden. Bin Laden is long gone, but Jason is still wanted for armed robbery and murder.For years, his sister, Jami D. Brown Martin has watched the true crime programs and read the amateur investigative blogs devoted to Jason, his crime, and the efforts to apprehend him knowing the story wasn’t as simple, nor was it just Jason’s. To be the sister, brother, or relative of one of the world’s most wanted men is to live every day with the horrible truth and many consequences of his brutal act.CENTER OF ATTENTION is the story of a former Mormon missionary turned murderer. It is also a riveting look behind the facade of the genetically blessed, seemingly prominent and pious Brown family of Laguna Beach, California. It is a tale of the family patriarch, John Brown, who disappeared without a trace ten years before his son. More important, it is the gripping and ultimately hopeful story of the sister of one of the world’s most wanted fugitives and her journey to accept that despite being a product of the same crazy environment as her brother, her life and path are her own.

    True tales from a post-truth world)It should have been simple. Go in and steal the cash. But no job is simple when the two guys named Lenny and their buddy Hot Sauce are involved.Sprinkle in a backpacker who is not what she seems, some cashed-up tourists who don’t speak English, a couple enduring the night from hell, not to mention the mysterious Jack the problem solver and you have a night full of sex, drugs and misadventure.If you love hilarious stories that will keep you laughing and guessing all the way to the end, you’ll love Jack Stroke’s The Other Hotel.Get it now.

    . .’ So wrote Shakespeare in Richard II, and in his new book Royal Murder Marc Alexander investigates the sad stories of the victims of royal murders. Ignoring violent death by battle or political execution, this book is devoted to personal acts of jealousy and revenge which has stained the Crown with blue blood down the ages. The subjects range from those murders one may vaguely remember from schooldays without being aware of their backgrounds of intrigue and mystery, to lesser known scandals such as the secret murder of Count von Konigsmarck, the lover of Princess Sophia of Zell, wife of George the First. About the Author… Marc Alexander left Poverty Bay, New Zealand, to become a journalist in London. After four years on Fleet Street, he became the editorial director of a small magazine group, then the organiser of an annual film festival. Four years ago he became a full-time author, his books ranging from fiction to history.

    You'll explore a wide range of important Java topics as you systematically learn how to pass the certification exam. Each chapter starts with a list of the exam objectives covered in that chapter. You'll find sample questions and exercises designed to reinforce key concepts and to prepare you for what you'll see in the real exam, along with numerous tips, notes, and visual aids throughout the book.About This BookTo earn the OCA Java SE 7 Programmer Certification, you need to know your Java inside and out, and to pass the exam it's good to understand the test itself. This book cracks open the questions, exercises, and expectations you'll face on the OCA exam so you'll be ready and confident on test day.OCA Java SE 7 Programmer I Certification Guide is a comprehensive guide to the 1Z0-803 exam. You'll explore important Java topics as you systematically learn what is required. Each chapter starts with a list of exam objectives, followed by sample questions and exercises designed to reinforce key concepts. It provides multiple ways to digest important techniques and concepts, including analogies, diagrams, flowcharts, and lots of well-commented code.Written for developers with a working knowledge of Java who want to earn the OCA Java SE 7 Programmer I Certification.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.What's InsideCovers all exam topicsHands-on coding exercisesHow to avoid built-in traps and pitfallsAbout the AuthorMala Gupta has been training programmers to pass Java certification exams since 2006. She holds OCA Java SE7 Programmer I, SCWCD, and SCJP certifications.Table of ContentsIntroductionJava basicsWorking with Java data typesMethods and encapsulationString, StringBuilder, Arrays, and ArrayListFlow controlWorking with inheritanceException handlingFull mock exam

    The preeminent expert in his field, Mr.Black draws upon years of experience as president of both theInternational and American Software Testing Qualifications boardsto offer this extensive resource of all the standards, methods, andtools you'll need.The book covers core testing concepts and thoroughly examinesthe best test management practices and tools of leading hardwareand software vendors. Step-by-step guidelines and real-worldscenarios help you follow all necessary processes and avoidmistakes.Producing high-quality computer hardware and software requirescareful, professional testing; Managing the Testing Process, Third Edition explains how to achieve that by following adisciplined set of carefully managed and monitored practices andprocessesThe book covers all standards, methods, and tools you need forprojects large and smallPresents the business case for testing products and reviews theauthor's latest test assessmentsTopics include agile testing methods, risk-based testing, IEEEstandards, ISTQB certification, distributed and outsourced testing, and moreOver 100 pages of new material and case studies have been addedto this new editionIf you're responsible for managing testing in the real world, Managing the Testing Process, Third Edition is the valuablereference and guide you need.

    Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f

    What's even more shocking was when an upstanding resident stood accused of the assaults. This was not just any man, but a pillar of the community; a decorated military pilot who had flown Canadian Forces VIP aircraft for dignitaries such as the Queen of England, Prince Philip, the Governor-General and Prime Minister of Canada. This is the story of serial killer Russell Williams, the elite pilot of Canada’s Air Force One, and the innocent victims he murdered. Unlike other serial killers, Williams seemed very unaffected about his crimes and leading two different lives. Alan R. Warren describes the secret life including the abductions, rape, and murders that were unleashed on an unsuspecting community. Included are letters written to the victims by Williams and descriptions of the assaults and rapes as seen on videos and photos taken by Williams during the attacks.

    This comprehensive, illustrated book gives essential advice on how to become the pack leader by understanding and interpreting the body language of man's best friend. Topics include choosing your Border Collie, taking your puppy home, common sense dog training, nutrition, creating a partnership, and adolescent and older dogs.

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    With SQL and this task-based guide to it, you can do it too—no programming experience required!After going over the relational database model and SQL syntax in the first few chapters, veteran author Chris Fehily launches into the tasks that will get you comfortable with SQL fast. In addition to explaining SQL basics, this updated reference covers the ANSI SQL:2003 standard and contains a wealth of brand-new information, including a new chapter on set operations and common tasks, well-placed optimization tips to make your queries run fast, sidebars on advanced topics, and added IBM DB2 coverage.Best of all, the book's examples were tested on the latest versions of Microsoft Access, Microsoft SQL Server, Oracle, IBM DB2, MySQL, and PostgreSQL. On the companion Web site, you can download the SQL scripts and sample database for all these systems and put your knowledge to work immediately on a real database..

     A star athlete with a winning smile, Pernell Jefferson had no trouble attracting women. But beneath his immaculate exterior lurked a beast that left nothing but battered women and broken dreams in his path. Addicted to steroids and nearly destitute after walking away from a football career with the Cleveland Browns, Pernell set his sights obsessively on Jeannie Butkowski. Calling her at every hour of the day, showing up to her home unannounced, and battering her when she turned her attention toward other men, Pernell made Jeannie a prisoner of her own home and her own mind. After Jeannie’s sudden disappearance, the Butkowski family and Jeannie’s friends could name the man responsible. But police, despite subsequently discovering Jeannie’s charred remains in a small Virginia town, refused to question the man most likely linked to the brutal crime. Deadly Goals explores the devastating details of Pernell Jefferson’s past, the disturbing nature of his crimes, and the impassioned cries for justice from Jeannie’s family at a pace so compelling that True Crime fans won’t be able to set down this must-read from seasoned author Wilt Browning.

    Such strange and chilling tales run the gamut of the terrifying and the bizarre and include crime victims, lost explorers, ships vanished at sea, outdoor disappearances, and supernatural mysteries that defy all explanation. Among these pages you’ll find accounts of America’s Lost Colony, history’s most famous ghost ships, famous figures who vanished into the unknown, the unknown fate of America’s first kidnapping for ransom, a vanished heiress, lighthouse keepers who impossibly disappeared, the killer who escaped the noose – permanently, the Grand Canyon adventurers who were never seen again, the Prohibition lawman’s nephew who was never found, the Ohio sorority girl who never made it home, the abducted housewife who disappeared, the Hollywood starlet who left her family behind, a missing West Point cadet, the babysitter who vanished on Halloween, the missing Texas couple who may have been Russian spies, the little boy who walked away for good in the Smoky Mountains, a missing heiress to a candy empire, a missing TV news reporter, a long distance runner whose run never ended, plus infamous vanishings of figures like Theodosia Burr, Amelia Earhart, Glenn Miller, Judge Crater, Jimmy Hoffa, and far too many more! Just remember as you turn the pages, that if these people so easily vanished from the face of the earth, then it means it could happen to anyone – perhaps even you. You may want to read this one with the lights on.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    Not only does author David Cook assist you in understanding the component parts of robot development, but he also presents valuable techniques that prepare you to make new discoveries on your own.Cook begins with the anatomy of a homemade robot and gives you the best advice on how to proceed successfully. General sources for tools and parts are provided in a consolidated list, and specific parts are recommended throughout the book. Also, basic safety precautions and essential measuring and numbering systems are promoted throughout.Specific tools and parts covered include digital multimeters, motors, wheels, resistors, LEDs, photoresistors, transistors, chips, gears, nut drivers, batteries, and more. "Robot Building for Beginners" is an inspiring book that provides an essential base of practical knowledge for anyone getting started in amateur robotics.

    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.