COURSE OBJECTIVES: 1. To train the students to understand different types of AI agents. 2. To understand various AI search algorithms.

What is artificial intelligence? • Artificial Intelligence is the branch of computer science concerned with making computers behave like humans.

(R20A0566) ARTIFICIAL INTELLIGENCE & MACHINE LEARNING. COURSE OBJECTIVES: To train the students to understand different types of AI agents. To understand ...

Artificial Intelligence and Machine Learning Syllabus UNIT I PROBLEM SOLVING Introduction to AI - AI Applications - Problem solving agents – search algorithms.

DESCRIPTION: The course is organized into seven learning cycles (LC). Each LC deals with a different aspect of AI or ML in marketing. Each LC had learning ...

This report from the Norwegian Board of Technology describes how machines learn, what their areas of application are and what challenges are inherent to this ...

We cover some of the basic machine learning methods, state of the art machine learning models (neural networks) and some of the constraints of machine learning.

The chapter finishes by envisioning a future in which increasingly intelligent AI systems, working with human scientists, help address society's most pressing ...

Deep. Learning. • Mimicking the intelligence or behavioral pattern of humans or any other living entity. • A technique by which a computer can “learn” from data.

Point out the subfields of Artificial Intelligence. • Machine Learning. • Deep Learning. • Neural Networks. • Cognitive Computing. • Computer Vision. • ...