3 Review(s)

This book is primarily intended for undergraduate and postgraduate students of computer science . This textbook covers the gap between the difficult contexts of Artificial Intelligence. It provides the most number of case studies and worked-out examples. In addition to Artificial Intelligence , it also covers various types of learning like reinforced, supervised, unsupervised and statistical learning. It features well-explained algorithms and pseudo-codes for each topic which makes this book very useful for students.