This book develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation ...
This open access textbook welcomes students into the fundamental theory of measure, integration, and real analysis. Focusing on an accessible approach, Axler lays the foundations for further study by promoting a deep understanding of key results. Content is carefully curated to suit a single course, or two-semester sequence of courses, creating a v...
Offering key insights into critical debates on the construction, management and destruction of heritage in Muslim contexts, this volume considers how Islamic heritages are constructed through texts and practices which award heritage value. It examines how the monolithic representation of Islamic heritage (as a singular construct) can be enriched by...
This book presents a consistent development of the Kohn-Nirenberg type global quantization theory in the setting of graded nilpotent Lie groups in terms of their representations. It contains a detailed exposition of related background topics on homogeneous Lie groups, nilpotent Lie groups, and the analysis of Rockland operators on graded Lie groups...
This book examines how the social sciences can be integrated into the praxis of engineering and science, presenting unique perspectives on the interplay between engineering and social science. Motivated by the report by the Commission on Humanities and Social Sciences of the American Association of Arts and Sciences, which emphasizes the importance...
This book covers both classical and modern models in deep learning. The chapters of this book span three categories:
The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional mac...
This book discusses how to train Site Reliability Engineers, or SREs. Before we go any further, we'd like to clarify the term "SRE."
"SRE" means a variety of things:
- Site Reliability Engineer or a Site Reliability Engineering team, based on the context (singular, SRE, or plural, SREs)
- Site Reliability Engineering concep...
Asking and answering questions about what culture entails and examines the fundamental properties and intertwining nature of language and culture. This text explores linguistic relativity, lexical differences among languages and intercultural communication, including high and low contexts.
Changes to a variety of OER works were made by Manon Allar...
Tracing the shift from liberal to neoliberal education from the nineteenth century to the present day, this open access book provides a rich and previously underdeveloped narrative of value in higher education in England. Value and the Humanities draws upon historical, financial, and critical debates concerning educational and cultural policy. Rath...
The issue "Mathematical Logic and Its Applications 2020" contains articles related to the following three directions:
I. Descriptive Set Theory (3 articles). Solutions for long-standing problems, including those of A. Tarski and H. Friedman, are presented.
II. Exact combinatorial optimization algorithms, in which the complexity rela...
In this elementary textbook, Philip S. Peek draws on his twenty-five years of teaching experience to present the ancient Greek language in an imaginative and accessible way that promotes creativity, deep learning, and diversity.
The course is built on three pillars: memory, analysis, and logic. Readers memorize the top 250 most frequently occurr...
This course is organized around algorithmic issues that arise in machine learning. Modern machine learning systems are often built on top of algorithms that do not have provable guarantees, and it is the subject of debate when and why they work. In this class, we focus on designing algorithms whose performance we can rigorously analyze for fundamen...