Snapshot
Abstract
This series focuses on tools, methodologies, and concerns related to implementing machine learning, deep learning, image recognition, pattern recognition and other forms of artificial intelligence as well as efficiently storing, handling, and analyzing large datasets and databases from a wide range of sources.
Artificial intelligence is permeating software development in many ways and many industries, which necessitates a thorough knowledge of how developers are doing this.
This volume includes research and analysis covering topics such as developer demographics and firmographics, artificial intelligence landscape, enterprise AI, AI concepts, methods and approaches, AI resources, AI algorithms, APIs and frameworks, tools, security, software development lifecycle, conversational systems, image recognition, hardware for AI, containerization, hardware optimization, subject matter expertise for AI, and parallelism and performance for AI development and more.
