JNTUK B.Tech branch record · AIML
Artificial Intelligence and Machine Learning
Machine learning, deep learning, intelligent systems and core computer science. Switch regulations below, then choose the semester or subject you need.
Material registerChoose a regulation
R23 semester syllabus
Branch-specific study begins at 2-1. Each page lists subjects, credits, outcomes and unit-wise syllabus topics.
2-1Second year · semester 1Subjects, credits, units and syllabus topics for this R23 semester.Open semester →2-2Second year · semester 2Subjects, credits, units and syllabus topics for this R23 semester.Open semester →3-1Third year · semester 1Subjects, credits, units and syllabus topics for this R23 semester.Open semester →3-2Third year · semester 2Subjects, credits, units and syllabus topics for this R23 semester.Open semester →4-1Fourth year · semester 1Subjects, credits, units and syllabus topics for this R23 semester.Open semester →4-2Fourth year · semester 2Subjects, credits, units and syllabus topics for this R23 semester.Open semester →
R16 lecture-note archive
The original subject links are preserved and reorganised by semester. Open a semester to see every available resource.
No separate R16 archive for this specialization
AI & Machine Learning is presented here as an R23 specialization. The established R16 note libraries remain available for CSE, IT, ECE, EEE, Civil and Mechanical Engineering.
Browse the R16 notes directory