This book helps you gain the foundational knowledge required to write an operating system from scratch. Hence the title, 0 to 1. After completing this book, at the very least you will learn: - How to write an operating system from scratch by reading hardware datasheets. In the real world, it works like that. You won't be able to consult Google for a quick answer. - A big picture of how e

This open book is assembled from lectures given by the author over a period of 10 years at the School of Computing of DePaul University. The lectures cover multiple classes, including Analysis and Design of Algorithms, Scientific Computing, Monte Carlo Simulations, and Parallel Algorithms. These lectures teach the core knowledge required by any scientist interested in numerical algorithm

This open access book provides a robust exposition of the mathematical foundations of data representation, focusing on two essential pillars of dimensionality reduction methods, namely geometry in general and Riemannian geometry in particular, and category theory. Presenting a list of examples consisting of both geometric objects and empirical datasets, this book provides insights into t

This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling

While Kubernetes has greatly simplified the task of deploying containerized applications, managing this orchestration framework on a daily basis can still be a complex undertaking. With this practical book, site reliability and DevOps engineers will learn how to build, operate, manage, and upgrade a Kubernetes cluster - whether it resides on cloud infrastructure or on-premises. Brendan B

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

This open access book employs a practical, example-driven approach to introduce the features of sed and regular expressions incrementally. The author strongly advises readers to manually type and experiment with each example, emphasizing that a thorough understanding of both the sample input and the resulting output is critical for comprehension. The book presupposes that readers possess

This open access book relies heavily on examples to systematically present the features of grep and regular expressions. The author recommends that readers manually type each example and experiment with them, stressing that understanding both the sample input strings and the resulting output is crucial. The book assumes that the reader has prior experience working with the command line a

When the author first began the Azure Tips and Tricks series, the initial expectation was to write only a few posts before moving on. However, the project has since expanded significantly from its origins. Today, the collection has grown to include over 150 tips, supplemented by videos, conference talks, and a comprehensive eBook that spans the entire Azure platform. This particular book

This 3rd edition of Azure Serverless Computing Cookbook guides you through the development of a basic back-end web API that performs simple operations, helping you understand how to persist data in Azure Storage services. You'll cover the integration of Azure Functions with other cloud services, such as notifications (SendGrid and Twilio), Cognitive Services (computer vision), and Logic