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Good Habits for Great Coding: Improving Programming Skills with Examples in Python
Good Habits for Great Coding: Improving Programming Skills with Examples in Python

Improve your coding skills and learn how to write readable code. Rather than teach basic programming, this book presumes that readers understand the fundamentals, and offers time-honed best practices for style, design, documenting, testing, refactoring, and more. 

Taking an informal, conversational tone,...

The Art of Agile Practice: A Composite Approach for Projects and Organizations (Advanced & Emerging Communications Technologies)
The Art of Agile Practice: A Composite Approach for Projects and Organizations (Advanced & Emerging Communications Technologies)

The Art of Agile Practice: A Composite Approach for Projects and Organizations presents a consistent, integrated, and strategic approach to achieving "Agility" in your business. Transcending beyond Agile as a software development method, it covers the gamut of methods in an organization?including...

Multivariate Time Series Analysis: With R and Financial Applications
Multivariate Time Series Analysis: With R and Financial Applications

An accessible guide to the multivariate time series tools used in numerous real-world applications

Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a...

Agile Model-Based Development Using UML-RSDS
Agile Model-Based Development Using UML-RSDS

This book describes the concepts and application of model-based development (MBD), model transformations, and Agile MBD to a wide range of software systems. It covers systems requirements engineering, system specification and design, verification, reuse, and system composition in the context of Agile MBD. Examples of applications in...

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...

C++ Programming in easy steps
C++ Programming in easy steps
C++ Programming in Easy Steps instructs you how to program in the powerful C++ language, giving complete examples that illustrate each aspect.

C++ Programming in Easy Steps begins by explaining how to download and install a free C++ compiler so you can quickly begin to create your own executable
...
Bayesian Artificial Intelligence, Second Edition
Bayesian Artificial Intelligence, Second Edition

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian...

C & C++ Code Capsules: A Guide for Practitioners
C & C++ Code Capsules: A Guide for Practitioners

This book shares the hard-won wisdom of a highly-successful C++/C programmer - along with a large collection of ANSI-compliant programs that illustrate the true power of C++. This book includes a wide variety of ideas, tips and techniques for programmers of all skill levels. It presents little-known facts about pointers and...

An Introduction to Bootstrap Methods with Applications to R
An Introduction to Bootstrap Methods with Applications to R
A comprehensive introduction to bootstrap methods in the R programming environment

Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the...

A Practical Approach to Compiler Construction (Undergraduate Topics in Computer Science)
A Practical Approach to Compiler Construction (Undergraduate Topics in Computer Science)

This book provides a practically-oriented introduction to high-level programming language implementation. It demystifies what goes on within a compiler and stimulates the reader's interest in compiler design, an essential aspect of computer science. Programming language analysis and translation techniques are used in many software...

The Top Ten Algorithms in Data Mining
The Top Ten Algorithms in Data Mining

Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a...

Cryptanalysis of RSA and Its Variants
Cryptanalysis of RSA and Its Variants

Thirty years after RSA was first publicized, it remains an active research area. Although several good surveys exist, they are either slightly outdated or only focus on one type of attack. Offering an updated look at this field, Cryptanalysis of RSA and Its Variants presents the best known mathematical attacks on RSA and its...

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