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Paid Beginner. Free Video Beginner. Free Beginner. Welcome Back You checked out these tutorials the last time you visited. You might also be interested in:. What is SQL? What are the Prerequisites for learning SQL? Why should you learn SQL? How can Hackr. Welcome Back. Much more than a database server, it's a rich ecostructure with advanced analytic capab Hekaton is designed to exploit terabytes of available memory and high numbers of processing cores.

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It is supposed to be organized by task but not by discipline. We try to make a cross-disciplinary book, i. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. My intent is to present a relatively brief, non-jargony overview of how practicing epidemiologists can apply some of the extremely powerful spatial analytic tools that are easily available to them.

An essential guide to the trouble spots and oddities of R. In spite of the quirks exposed here, R is the best computing environment for most data analysis tasks. This hands-on guide takes you through Python a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design.

Updated to Python 3. This is an introduction to the basic concepts of linear algebra, along with an introduction to the techniques of formal mathematics.

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This is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence AI using a coherent framework to study the design of intelligent computational agents. The foundations for inference are provided using randomization and simulation methods.

Once a solid foundation is formed, a transition is made to traditional approaches, where the normal and t distributions are used for hypothesis testing and Probability is optional, inference is key, and we feature real data whenever possible.

Files for the entire book are freely available at openintro. This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework.

While the approach is statistical, the emphasis is on concepts rather than mathematics. Think Bayes is an introduction to Bayesian statistics using computational methods.