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Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.What does automatic scheduling or autonomous driving have in common with web search, speech recognition, and machine translation? These are complex real-world problems that span across various practices of engineering! The aim of artificial intelligence (AI) is to tackle these problems with rigorous mathematical tools. The objective of this course is to present an overview of the principles and practices of AI to address such complex real-world problems. The course is designed to develop a basic understanding of problem solving, knowledge representation, reasoning and learning methods of AI.
INTENDED AUDIENCE: Final Year B.Tech; M.Tech and PhD
PREREQUISITES: Basic Course in Probability and Linear Algebra