



  How to Think About AlgorithmsThere are many algorithm texts that provide lots of wellpolished code and proofs of correctness. This book is not one of them. Instead, this book presents insights, notations, and analogies to help the novice describe and think about algorithms like an expert. By looking at both the big picture and easy stepbystep methods for developing...   Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many dierent
sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer
databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing
the knowledge as to... 

An Elementary Introduction to Mathematical Finance
This textbook on the basics of option pricing is accessible to readers with limited mathematical training. It is for both professional traders and undergraduates studying the basics of finance. Assuming no prior knowledge of probability, Sheldon M. Ross offers clear, simple explanations of arbitrage, the BlackScholes option pricing formula,...   Introduction to Clustering Large and HighDimensional Data"...this book may serve as a useful reference for scientists and engineers who need to understand the concepts of clustering in general and/or to focus on text mining applications. It is also appropriate for students who are attending a course in pattern recognition, data mining, or classification and are interested in learning more about...   The Measure of All Minds: Evaluating Natural and Artificial Intelligence
Are psychometric tests valid for a new reality of artificial intelligence systems, technologyenhanced humans, and hybrids yet to come? Are the Turing Test, the ubiquitous CAPTCHAs, and the various animal cognition tests the best alternatives? In this fascinating and provocative book, José HernándezOrallo formulates major... 


A Second Course in Formal Languages and Automata TheoryIntended for graduate students and advanced undergraduates in computer science, A Second Course in Formal Languages and Automata Theory treats topics in the theory of computation not usually covered in a first course. After a review of basic concepts, the book covers combinatorics on words, regular languages, contextfree languages, parsing and...   Automata Theory with Modern Applications'Anderson's book gives an excellent, clearly written account of automata theory.' SIAM Review
Recent applications to biomolecular science and DNA computing have created a new audience for automata theory and formal languages. This is the only introductory book to cover such applications. It begins with a clear and readily...   


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