This is the first entry-level book on algorithmic (also known as automatic) differentiation (AD), providing fundamental rules for the generation of first- and higher-order tangent-linear and adjoint code. The author covers the mathematical...
This book aims to bring newcomers to natural language processing (NLP) and deep learning to a tasting table covering important topics in both areas. Both of these subject areas are growing exponentially. As it introduces both deep learning and NLP...
The Goal of Using Machine Learning Powered Applications Over the past decade, machine learning (ML) has increasingly been used to power a variety of products such as automated support systems, translation services, recommendation engines, fraud...
The Complete NGINX Cookbook starts off with easy‑to‑follow recipes for the most important NGINX use cases, such as load balancing, content caching, and high availability (HA) to help you get up and running quickly. From there more advanced...