Access year-wise, semester-wise and unit-wise AI & Machine Learning notes, previous year questions, important questions and exam-oriented study material for RGPV B.Tech students.
Academic Years
Semesters
AI & Machine Learning Subjects
Select your academic year to access semester-wise RGPV Artificial Intelligence & Machine Learning notes.
Basic Engineering subjects including Mathematics, Physics, Chemistry, BEEE, Engineering Graphics and Communication Skills.
Open First YearCore Computer Science subjects including Data Structures, OOPM, Digital Electronics, Computer Organization & Architecture, Operating Systems and Database Management Systems.
Open Second YearExplore Artificial Intelligence, Machine Learning, Data Science, Computer Vision, Natural Language Processing and Intelligent Systems.
Coming SoonAdvanced AI technologies including Deep Learning, Generative AI, Reinforcement Learning, Big Data Analytics and AI-based Major Projects.
Coming SoonThis page is specially designed for RGPV Computer Science Artificial Intelligence and Machine Learning (CS-AIML) students who want quick access to year-wise, semester-wise and unit-wise study material. Students can easily navigate through different academic years, semesters and subjects according to the latest RGPV curriculum.
CS-AIML students can find study resources for subjects such as Data Structures, Database Management Systems, Operating Systems, Computer Networks, Artificial Intelligence, Machine Learning, Data Science, Probability and Statistics, Deep Learning, Neural Networks, Natural Language Processing, Computer Vision and Big Data Analytics.
The goal of RGPV Notes Hub is to provide high-quality notes, previous year question papers, important questions, practical resources and exam-oriented study material to help CS-AIML students perform better in semester examinations and build strong technical knowledge in Artificial Intelligence, Machine Learning and modern intelligent computing technologies.
Quick access to important Internet of Things and Computer Science subjects.
Algorithms, greedy method, dynamic programming, backtracking and NP-completeness.
Open ADA →Automata, DFA, NFA, grammar, regular expression and Turing machine notes.
Open TOC →Common questions about RGPV Computer Science notes.
Select your year, semester, subject and unit. Then click on the Read Document button available on the unit page.
Yes, CSE notes are arranged according to year, semester, subject and unit for easy exam preparation.
Previous year question papers and important questions are available for many Computer Science subjects.
No, this is an independent educational platform made only for student support and exam preparation.