Learn IT - Books tags algorithms

Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science)

Springer, 2005

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order...

JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals

Apress, 2019

The motivation for writing this book was the lack of resources available about data structures and algorithms written in JavaScript. This was strange to me because today many of the job opportunities for software development require knowledge of JavaScript; it is the only language that can be used to write the entire...

Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes

Apress, 2019

Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.

You’ll discover the...

Geometric Folding Algorithms: Linkages, Origami, Polyhedra

Cambridge University Press, 2007

How can linkages, pieces of paper, and polyhedra be folded? The authors present hundreds of results and over 60 unsolved 'open problems' in this comprehensive look at the mathematics of folding, with an emphasis on algorithmic or computational aspects. Folding and unfolding problems have been implicit since Albrecht Dürer in the...

Expert Python Programming: Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7, 3rd Edition

Packt Publishing, 2019

Refine your Python programming skills and build professional grade applications with this comprehensive guide

Key Features

Create manageable code that can run in various environments with different sets of dependencies

Implement effective Python data structures and...

Data Structures and Algorithms in C++

Cengage Learning, 2012

Strengthen your understanding of data structures and their algorithms for the foundation you need to successfully design, implement and maintain virtually any software system. Theoretical, yet practical, DATA STRUCUTRES AND ALGORITHMS IN C++, 4E by experienced author Adam Drosdek highlights the fundamental connection between data structures and...

Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python

Apress, 2019

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms...

Algorithmic Number Theory, Vol. 1: Efficient Algorithms (Foundations of Computing)

MIT Press, 1996

Algorithmic Number Theory provides a thorough introduction to the design and analysis of algorithms for problems from the theory of numbers. Although not an elementary textbook, it includes over 300 exercises with suggested solutions. Every theorem not proved in the text or left as an exercise has a reference in the notes section...

Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python

Apress, 2019

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification,...

The Power of Algorithms: Inspiration and Examples in Everyday Life

Springer, 2013

To examine, analyze, and manipulate a problem to the point of designing an algorithm for solving it is an exercise of fundamental value in many fields. With so many everyday activities governed by algorithmic principles, the power, precision, reliability and speed of execution demanded by users have transformed the design and...

Information Retrieval: Data Structures and Algorithms

Prentice Hall, 1992

Information retrieval is a sub-field of computer science that deals with the automated storage and retrieval of documents. Providing the latest information retrieval techniques, this guide discusses Information Retrieval data structures and algorithms, including implementations in C. Aimed at software engineers building systems with...

The Nature of Code: Simulating Natural Systems with Processing

The Nature of Code, 2012

How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary...

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