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Handbook of Software Engineering
Handbook of Software Engineering
This handbook provides a unique and in-depth survey of the current state-of-the-art in software engineering, covering its major topics, the conceptual genealogy of each subfield, and discussing future research directions. Subjects include foundational areas of software engineering (e.g. software processes, requirements engineering,...
The Art of Statistics: Learning from Data (Pelican Books)
The Art of Statistics: Learning from Data (Pelican Books)

Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more...

Configuring Internal Controls for Software as a Service: Between Fragility and Forgiveness
Configuring Internal Controls for Software as a Service: Between Fragility and Forgiveness

This book taps into an inherent paradox: with the ease of reliance on external, cloud providers to provide robust functionality and regular enhancements comes, as their very own audited service organization control (SOC) reports are quick to point out, the need for client organizations to devise and sustain a system of effective...

Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts
Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts

A comprehensive guide to exploring software architecture concepts and implementing best practices

Key Features

  • Enhance your skills to grow your career as a software architect
  • Design efficient software architectures using patterns and best practices
  • Learn...
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...
Designing Machine Learning Systems with Python
Designing Machine Learning Systems with Python

Design efficient machine learning systems that give you more accurate results

About This Book

  • Gain an understanding of the machine learning design process
  • Optimize machine learning systems for improved accuracy
  • Understand common programming tools and techniques for machine...
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...

Learning AWS
Learning AWS

Design, build, and deploy responsive applications using AWS cloud components

About This Book

  • Build scalable and highly available real-time applications
  • Make cost-effective architectural decisions by implementing your product's functional and non-functional requirements
  • ...
Python Machine Learning
Python Machine Learning

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics

About This Book

  • Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization
  • Learn effective strategies and best practices to...
Environmental Modeling Using Satellite Imaging and Dataset Re-processing (Studies in Big Data, 54)
Environmental Modeling Using Satellite Imaging and Dataset Re-processing (Studies in Big Data, 54)
This book introduces methods of re-processing images to extract numerical information that can be used to quantify the observables in environmental modelling. Experiments or procedures that yield large images can be statistically or parametrically examined. Through the use of open source libraries, the book shows how ‘big data’...
Advanced Multilevel Converters and Applications in Grid Integration
Advanced Multilevel Converters and Applications in Grid Integration

A comprehensive survey of advanced multilevel converter design, control, operation and grid-connected applications

Advanced Multilevel Converters and Applications in Grid Integration presents a comprehensive review of the core principles of advanced multilevel converters, which require fewer components and...

Introduction to Machine Learning with R: Rigorous Mathematical Analysis
Introduction to Machine Learning with R: Rigorous Mathematical Analysis

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more...

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