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 :

  1. “Machine Learning Theory and Practice”, M N Murthy,  V S Ananthanarayana, Universities Press (India), 2024.
  2. Tom M. Mitchell, “Machine Learning’, MGH, 2017.

UNIT-1
UNIT-2


Tuesday, 18 February 2025

Research Publications

 Academic Year : 2024-2025


 Academic Year : 2023-2024

FDP ATTENDED  : 2024-2025