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Data Structures and Algorithms Using C#
Data Structures and Algorithms Using C#
C# programmers: no more translating data structures from C++ or Java to use in your programs! Mike McMillan provides a tutorial on how to use data structures and algorithms plus the first comprehensive reference for C# implementation of data structures and algorithms found in the .NET Framework library, as well as those developed by the...
Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition
Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition

Learn to implement complex data structures and algorithms using Python

Key Features

  • Understand the analysis and design of fundamental Python data structures
  • Explore advanced Python concepts such as Big O notation and dynamic programming
  • Learn functional...
Probability: With Applications and R
Probability: With Applications and R

An introduction to probability at the undergraduate level

Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability.

...
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
Managing and Mining Graph Data (Advances in Database Systems)
Managing and Mining Graph Data (Advances in Database Systems)

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific...

Data Mining Patterns: New Methods and Applications
Data Mining Patterns: New Methods and Applications
Since its definition a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to problems either in industry, government or science. From the initial definition and motivated by real applications, the problem of mining patterns not only addresses the finding of itemsets...
Applied Security Visualization
Applied Security Visualization
APPLIED SECURITY VISUALIZATION

 

“Collecting log data is one thing, having relevant information is something else. The art to transform all kinds of log data into meaningful security information is the core of this book. Raffy illustrates in a...

Graph -Theoretic Techniques for Web Content Mining (Machine Perception and Artificial Intelligence)
Graph -Theoretic Techniques for Web Content Mining (Machine Perception and Artificial Intelligence)
Graphs are mathematical constructs for representing objects or systems which contain structural (i.e. relationship) information. Graphs have been used in many domains, from software engineering to artificial intelligence. However, the use of graphs in machine learning has been limited, compared to the more prevalent vector model which does not...
MATLAB Mathematical Analysis
MATLAB Mathematical Analysis

MATLAB Mathematical Analysis is a reference book that presents the techniques of mathematical analysis through examples and exercises resolved with MATLAB software. The purpose is to give you examples of the mathematical analysis functions offered by MATLAB so that you can use them in your daily work regardless of the application....

A Java Library of Graph Algorithms and Optimization (Discrete Mathematics and Its Applications)
A Java Library of Graph Algorithms and Optimization (Discrete Mathematics and Its Applications)
Because of its portability and platform-independence, Java is the ideal computer programming language to use when working on graph algorithms and other mathematical programming problems. Collecting some of the most popular graph algorithms and optimization procedures, A Java Library of Graph Algorithms and Optimization provides the source code for...
Hacker's Delight (2nd Edition)
Hacker's Delight (2nd Edition)

In Hacker’s Delight, Second Edition, Hank Warren once again compiles an irresistible collection of programming hacks: timesaving techniques, algorithms, and tricks that help programmers build more elegant and efficient software, while also gaining deeper insights into their craft. Warren’s hacks...

Getting Started with Python: Understand key data structures and use Python in object-oriented programming
Getting Started with Python: Understand key data structures and use Python in object-oriented programming

Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information

Key Features

  • Turn your designs into working software by learning the Python syntax
  • Write robust code with a solid understanding of...
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