This open access volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an essential part of mathematical modeling and computational science, and numerous solvers are available in commercial and open source software. However, no single ODE solver is the best choice for every single problem, and choosing the right solv

The mission of the first edition of this book was to introduce the anykernel and rump kernels and motivate their existence. Additionally, we explored the characteristics of the technology through various experiments. The paramount, often criminally overlooked experiment was the one hiding in plain sight: is it possible to construct the system in a sustainable, real-world compatible fashi

Introduction to Python Programming provides a comprehensive foundation in programming concepts and skills, and it is aligned to the scope of most introductory courses. A wide array of scenarios, contexts, and problems reflect programming applications in many disciplines and careers. The offering is suitable for a diverse learner audience, including those pursuing computer science, busine

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discu

Enterprises in traditional and emerging industries alike are increasingly turning to machine learning (ML) to maximize the value of their business data. But many of these teams are likely to experience significant hurdles and setbacks throughout the journey. In this practical ebook, data scientists and machine learning engineers explore six common challenges that teams face every day whe

This book positions the enterprise wide-area network (WAN) as a critical, yet often overlooked, foundation for successful digital transformation. The author argues that while technologies like cloud and mobile receive significant attention, a legacy WAN can derail transformation initiatives. The text makes the case for a new, cloud-first WAN architecture that offers the flexibility, simp

This book, The Crystal Ball Instruction Manual: Volume Two, Foundations for Data Science, continues the series. The author, Stephen Davies, explains that the first volume was titled "Introduction to Data Science" because it provided an initial, broad tour of the field. He notes that the reader's continued interest indicates a readiness to explore the next level. In Foundations, the text

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target-from ultra-low power microcontrollers to embedded Linux dev

This open book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well

The C++ Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow.