Introduction to Algorithms, Third Edition (International Edition)
A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms...
Data Mining and Business Analytics with R
Collecting, analyzing, and extracting valuable information froma large amount of data requires easily accessible, robust,computational and analytical tools. Data Mining and BusinessAnalytics with R utilizes the open source software R for theanalysis, exploration, and simplification of large high-dimensionaldata sets. As a result, readers are...
Core Concepts in Data Analysis: Summarization, Correlation and Visualization
In this textbook, I take an unconventional approach to data analysis. Its contents
are heavily influenced by the idea that data analysis should help in enhancing and
augmenting knowledge of the domain as represented by the concepts and statements
of relation between them. According to this view, two main pathways for
data analysis are...
C# in Depth, 3rd Edition
C# in Depth, Third Edition updates the best-selling second edition to cover the new features of C# 5, including the challenges of writing maintainable asynchronous code. It preserves the uniquely insightful look into the tricky areas and dusty corners of C# that only expert Jon Skeet can...
An Introduction to the Analysis of Algorithms (2nd Edition)
Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully...
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