Lecture Notes by Dr.S.Naganjaneyulu
Monday, 16 March 2026
Monday, 2 March 2026
23AM01-Machine Learning
UNIT-3:
- Models Based on Decision Trees PPT Notes
- Decision Trees for Classification, Impurity Measures, Properties, Regression Based on Decision Trees, Bias–Variance Trade-off, Random Forests for Classification and Regression. The Bayes Classifier: Introduction to the Bayes Classifier, Bayes’ Rule and Inference, The Bayes Classifier and its Optimality, Multi-Class Classification, Class Conditional Independence and Naive Bayes Classifier (NBC)
UNIT-4:
UNIT-5:
Saturday, 13 December 2025
23AM01----Machine Learning
Previous Question papers:
Text Books :
- “Machine Learning Theory and Practice”, M N Murthy, V S Ananthanarayana, Universities Press (India), 2024.
- Tom M. Mitchell, “Machine Learning’, MGH, 2017.
UNIT-1
UNIT-2
Monday, 3 November 2025
CERTIFICATIONS (2025)
Global Certifications:
- NVIDIA CERTIFATE on "Fundamentals of DEEP LEARNING"
- Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate (27th October 2025)
- Oracle Cloud Infrastructure 2025 Certified Generative AI Professional (28th October 2025)
NPTEL CERTIFICATION
- NPTEL IIOT_NOV 2025
- NPTEL IIOT_FDP_NOV_2025
- FDP On "Deep Learning Architectures and Applications”, by VIT AP 13th – 18th November 2025.
Reviewer Certificates 2025
R & D Publication 2025-2026Integration of MobileNetV2 for Efficient Prediction of Coffee Leaf Disease in Precision Agriculture
Wednesday, 13 August 2025
Sunday, 29 June 2025
23AD02-ARTIFICIAL INTELLIGENCE
Text Books:
UNIT-2
- Informed Search Best First Search and A* Algorithm
- A* Algorithm Example A* History
- Problem Reduction
- Game Playing
- Mini Max Algorithm
UNIT-3
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