AI Books
Data Visualization with Category Theory and Geometry
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 data
TCP/IP Guide
It is highly likely that a reader of this guide will have encountered the term "TCP/IP" before beginning, even without knowing its specific meaning. The reason for this is simple: TCP/IP is ubiquitous. It is the most widely used Internetworking protocol suite today, a prominence gained largely through its fundamental role in operating the global In
Data Mesh For Dummies
Data Mesh is a relatively new approach to data management. It combines several important trends in data management, including domain-driven design and data as a product, to decentralize the ownership of ingestion, processing, and serving of data. Zhamak Dehghani defined the term in 2019 as "a decentralized sociotechnical approach to share, access,
Modernizing .NET Applications
.NET is far from dead. Although JavaScript, Go, and Swift have gathered plenty of developer attention, .NET remains a dominant framework. But it hasn't been entirely smooth sailing. With .NET's coupling to Windows environments, .NET apps haven't had access to the bleeding edge of server automation or application deployment. Configuration management
.NET Performance Testing and Optimization
There is a huge amount of information available on the how's and why's of performance testing .NET applications, but it is often fairly subjective, narrow in scope, or doesn't quite cover everything you were hoping to learn. The Complete Guide to Performance Testing and Optimizing .NET Applications (by Paul Glavich and Chris Farrell) covers everyth
CI/CD with Docker and Kubernetes, 2nd Edition
Containers change how developers build, test, and deploy code. Adopting them takes time, and using them incorrectly can slow down the delivery process. Not every organization has a dedicated team of engineers to focus on this transition, unlike companies such as Spotify or Netflix. A startup CTO, for example, may need to prioritize shipping feature
The Little Book of Deep Learning
The current period of progress in artificial intelligence was triggered when Krizhevsky et al. demonstrated that an artificial neural network designed twenty years earlier could outperform complex state-of-the-art image recognition methods by a huge margin, simply by being a hundred times larger and trained on a dataset similarly scaled up. This br
C++ Notes for Professionals
The C++ Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow.
Managed Software Evolution
This book presents the outcomes of the "Design for Future - Managed Software Evolution" priority program 1593, which was launched by the German Research Foundation ("Deutsche Forschungsgemeinschaft (DFG)") to develop new approaches to software engineering with a specific focus on long-lived software systems. The different lifecycles of software and
Application of Network Function Virtualization in Modern Computer Environments
The Internet's exponential growth is driven by the development and emergence of advanced technologies, attended by a flood of new services. The maturity of these technologies is a decisive factor in the progress of the entire telecom industry, leading to a profound transformation of computer networks from traditional, hardware-centric functions to