R Books

Adoption of cloud-native application architectures is helping many organizations transform their IT into a force for true agility in the marketplace. This report defines the unique characteristics of cloud-native application architectures such as microservices and twelve-factor applications. Author Matt Stine also examines the cultural, organizatio

This open book is designed to accompany a graduate-level instructional design course: Game-Based and Adaptive Learning, but could also be used for undergraduate teacher education or instructional design courses. The original texts and material for this book came from the development of a course for Brandeis University as part of their MS in Learner

This open cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly - without having to comb through all the details of R's graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and w

This open access book explores the latest advancements and challenges in standardized methodologies, efficient code management, and scalable data processing of neuroimaging datasets. The chapters in this book are organized in four parts. Part One shows the researcher how to access and download large datasets, and how to compute at scale. Part Two c

Recently, data scientists have found effective methods to generate high-quality synthetic data. That's good news for companies seeking large amounts of data to train and build artificial intelligence and machine learning models. This report provides an overview of synthetic data generation that not only focuses on business value and use cases but a

Lecture notes for the Yale Computer Science course CPSC 469/569 Randomized Algorithms. Suitable for use as a supplementary text for an introductory graduate or advanced undergraduate course on randomized algorithms. Discusses tools from probability theory, including random variables and expectations, union bound arguments, concentration bounds, app

In data science, mastering a system environment with its tools and processes is essential to achieve minimum productivity. Feeling alien to an environment, using the wrong tools or combining the right tools in the wrong order can lead not only to effectivity limitations but also yield wrong results. Hence, in this book, besides basic computer knowl

Today's data engineering teams are overwhelmed - juggling fire drills and endless requests while relying on manual, repetitive processes for building data pipelines. This much-needed tech guide from author Josh Hall introduces a practical approach to streamlining pipeline development, empowering teams to work smarter, not harder. Using Coalesce, a

ENACT is a research project funded by the European Commission under its H2020 program. The project consortium consists of twelve industry and research member organisations spread across the whole EU. The overall goal of the ENACT project was to provide a novel set of solutions to enable DevOps in the realm of trustworthy Smart IoT Systems. Smart Io

As well-engineered as the .NET framework is, it's not perfect, and it doesn't always get memory management right. To write truly fantastic software, you need to understand how .NET memory management actually works. This book will take you from the very basics of memory management, all the way to how the OS handles its resources, and will help you w