Learn IT - Books tags analysis

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...

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...

Essentials of Mathematical Methods in Science and Engineering

John Wiley & Sons, 2019

A comprehensive introduction to the multidisciplinary applications of mathematical methods, revised and updated

The second edition of Essentials of Mathematical Methods in Science and Engineering offers an introduction to the key mathematical concepts of advanced calculus, differential equations, complex...

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...

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

Packt Publishing, 2018

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

Explore statistics and complex mathematics for data-intensive applications

Discover new developments in EM algorithm, PCA, and bayesian...

Applied Statistics: Theory and Problem Solutions with R

John Wiley & Sons, 2019

Instructs readers on how to use methods of statistics and experimental design with R software

Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds...

Data Analytics for Engineering and Construction Project Risk Management (Risk, Systems and Decisions)

Springer, 2019

This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve,...

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,...

Blockchain Technology for Industry 4.0: Secure, Decentralized, Distributed and Trusted Industry Environment (Blockchain Technologies)

Springer, 2020

This book explores recent advances in blockchain technology and its impact on Industry 4.0 via advanced technologies. It provides an in-depth analysis of the step by step evolution of Industry 4.0 and blockchain technologies for creating the next-generation, secure, decentralized, distributed and trusted industry environment 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...

Probability and Algorithms

National Academy Press, 1992

Some of the hardest computational problems have been successfully attacked through the use of probabilistic algorithms, which have an element of randomness to them. Concepts from the field of probability are also increasingly useful in analyzing the performance of algorithms, broadening our understanding beyond that provided by the...

PowerShell and Python Together: Targeting Digital Investigations

Apress, 2019

Bring together the Python programming language and Microsoft’s PowerShell to address digital investigations and create state-of-the-art solutions for administrators, IT personnel, cyber response teams, and forensic investigators.

You will learn how to join PowerShell's robust set of commands and access to the...

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