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 Introduction to Machine Learning (Adaptive Computation and Machine Learning)The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed... | | Online Newsgathering: Research and Reporting for JournalismJournalists used to rely on their notepad and pen. Today, professional journalists rely on the computerand not just for the writing. Much, if not all, of a journalists research happens on a computer.
If you are journalist of any kind, you need to know how to find the information you need online. This book will show you how to find... | | C++ Design Patterns and Derivatives Pricing (Mathematics, Finance and Risk)'This is a short book, but an elegant one. It would serve as an excellent course text for a course on the practical aspects of mathematical finance.' International Statistical Institute
'This book is thought-provoking and rewarding. Even for the less experienced programmer, the presentation is readily accessible, and the coded examples... |
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| | Digital Citizenship: The Internet, Society, and ParticipationJust as education has promoted democracy and economic growth, the Internet has the potential to benefit society as a whole. Digital citizenship, or the ability to participate in society online, promotes social inclusion. But statistics show that significant segments of the population are still excluded from digital citizenship.
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Geo-Data: The World Geographical EncyclopediaGale is pleased to present the third edition of Geo-Data: The World Geographical Encyclopedia. This is the first new edition of Geo-Data since 1989, and it represents a complete revision and updating of that work. The purpose of the book remains unchanged: to provide the reader with the most detailed and comprehensive descriptions available for the... | | Modeling with Data: Tools and Techniques for Scientific ComputingI am a psychiatric geneticist but my degree is in neuroscience, which means that I now do far more statistics than I have been trained for. I cannot overstate to you the magnitude of the change in my productivity since finding this book. Even after reading the first few chapters, which explain why data analysis is painful and how one can implement... | | Parameter Estimation for Scientists and EngineersThe subject of this book is estimating parameters of expectation models of statistical observations. The book describes what I consider the most important aspects of the subject for applied scientists and engineers. From experience, I know that this group of users is often not aware of estimators other than least squares. Therefore, one of my... |
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