This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.
This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.
Discusses the applications of machine learning in artificial intelligence A valuable resource for researchers in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics Covers human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences
Prashant Johri
Fuzyy Logic Neural Networks Evolutionary Computation Learning Theory Probabilistic Methods Telemedicine and Robotics Artificial Intelligence Soft Computing Image Processing