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 AntiPatterns: Refactoring Software, Architectures, and Projects in Crisis"The AntiPatterns authors have clearly been there and done that when it comes to managing software development efforts. I resonated with one insight after another, having witnessed too many wayward projects myself. The experience in this book is palpable." —John Vlissides, IBM Research "This book allows managers, architects,... | | PowerPoint 2007: The Missing Manual Like every other application in Microsoft Office suite, PowerPoint is loaded with features. So many, in fact, that even veterans don't know where to find them all. Microsoft solved this problem in PowerPoint 2007 by redesigning the user interface with a tabbed toolbar that makes features easy to locate and use. PowerPoint 2007... | | Schaum's Outline of Visual BasicMaster the fundamentals of Visual Basic with Schaum'sthe high-performance study guide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams and projects!
Students love Schaum's Outlines because they produce results. Each year, hundreds of thousands of students improve their test scores... |
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Principles of Data Mining (Adaptive Computation and Machine Learning)
The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly... | | Computer Science Logo Style 2/e, Vol. 3: Beyond ProgrammingThe phrase “computer science” is still, in some circles, battling for acceptance. Some
people, not necessarily antagonistic to computers, consider it an illegitimate merger of
two disconnected ideas (much as I feel myself about the phrase “computer literacy”). They
don’t see where the science comes in;... | | Machine LearningThe field of machine learning is concerned with the question of how to construct
computer programs that automatically improve with experience. In recent years
many successful machine learning applications have been developed, ranging from
data-mining programs that learn to detect fraudulent credit card transactions, to... |
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