This JNTUK R23 professional core course is listed for Mechanical Engineering (MECH). It is listed in semester 3-2. It carries 3 credits. The published coverage runs across 5 units, from Introduction to Artificial Intelligence through Deep Learning and ML Algorithm Analytics.
Verification scopeThe title, semester placement, credits, complete syllabus and stated course outcomes are sourced directly from JNTUK's official R23 Mechanical Engineering course structure and syllabus PDF.
What you'll be able to do
Describe the fundamental concepts and techniques of artificial intelligence.
Apply the principles of supervised learning methods to solve classification and regression problems.
Apply unsupervised learning techniques and Bayesian algorithms for data clustering and probabilistic inference.
Apply neural networks and genetic algorithms to solve optimization and pattern recognition problems.
Apply machine learning analytics and implement basic deep learning techniques for real- world applications.
5 units, from Introduction to Artificial Intelligence to Deep Learning and ML Algorithm Analytics. Tick off units as you cover them — your progress stays on this device.