Learn IT - Books tags trees

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

O'Reilly, 2013

If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs...

Distributed Graph Algorithms for Computer Networks (Computer Communications and Networks)

Springer, 2013

This book presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Topics and features: introduces a range of fundamental graph algorithms, covering spanning trees, graph traversal algorithms, routing algorithms, and self-stabilization;...

Data Structures and Abstractions with Java (3rd Edition)

Prentice Hall, 2011

Look around and you will see ways that people organize things. When you stopped at the store this morning, you went to the back of a line to wait for the cashier. The line organized people chronologically. The first person in the line was the first to be served and to leave the line. Eventually, you reached the front of the line and...

AI Game Engine Programming (Game Development Series)

Charles River, 2004

AI Game Engine Programming provides game developers with the tools and wisdom necessary to create modern game AI engines. It takes programmers from theory to actual game development, with usable code frameworks designed to go beyond merely detailing how a technique might be used. In addition, it surveys the capabilities of the different...

Principles of Data Mining (Undergraduate Topics in Computer Science)

Springer, 2013

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.

Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each...

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Springer, 2019

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. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

O'Reilly, 2017

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

Mastering .NET Machine Learning

Packt Publishing, 2016

About This Book

Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0

Set up your business application to start using machine learning techniques

Familiarize the user with some of the more common .NET libraries for machine learning

Implement...

PHP 7 Data Structures and Algorithms: Implement linked lists, stacks, and queues using PHP

Packt Publishing, 2017

Key Features

Gain a complete understanding of data structures using a simple approach
Analyze algorithms and learn when you should apply each solution
Explore the true potential of functional data structures

Book Description

PHP has always...

Visual Insights: A Practical Guide to Making Sense of Data (The MIT Press)

MIT Press, 2014

A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations.

In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data...

Data Mining and Statistics for Decision Making

John Wiley & Sons, 2011

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...

Mathematics and Computer Science II: Algorithms, Trees, Combinatorics and Probabilities (Trends in Mathematics)

Birkhauser, 2002

This is the second volume in a series of innovative proceedings entirely devoted to the connections between mathematics and computer science. Here mathematics and computer science are directly confronted and joined to tackle intricate problems in computer science with deep and innovative mathematical approaches.

The book...

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