Reinforcement and Systemic Machine Learning for Decision Making

There are always difficulties in making machines that learn from experience. Complete information is not always available--or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm--creating new learning applications and, ultimately, more intelligent machines.

The first book of its...

E-business is a comprehensive textbook designed to meet the needs of students of post graduate management programmes. It integrates e-commerce with strategic aspects of e-business and illustrates them through numerous examples, exhibits, figures, and case studies.
The book covers different aspects of e-business including e-business strategies, various e-business models and life cycle, business intelligence and knowledge management in Indian and global context. It also covers setting up of e-business and its management and techno-managerial aspects of running e-business. The book is...

This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts.