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...

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...

• Enhance your skills to grow your career as a software architect
• Design efficient software architectures using patterns and best practices
• Learn...

• Understand the analysis and design of fundamental Python data structures
• Explore advanced Python concepts such as Big O notation and dynamic programming
• Learn functional...

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...

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...

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...