Download Module-4 AIML 18CS71 Artificial Intelligence And Machine Learning 7th Semester VTU Notes Pdf
| AIML(Artificial Intelligence And Machine Learning) (Effective from the academic year 2018 -2019) SEMESTER – 7th |
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| Course Code | 18CS71 | CIE Marks | 40 | |
| Number of Contact Hours/Week | 2:2:0 | SEE Marks | 60 | |
| Total Number of Contact Hours | 10 | Exam Hours | 03
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Module-4
Bayesian Learning:
Introduction, Bayes theorem, Bayes theorem and concept learning, ML and LS error hypothesis, ML for predicting, MDL principle, Bates optimal classifier, Gibbs algorithm, Navie Bayes classifier, BBN, EM Algorithm
Texbook2: Chapter 6
RBT: L1, L2, L3
Course Outcomes:
The student will be able to :
- Appaise the theory of Artificial intelligence and Machine Learning.
- Illustrate the working of AI and ML Algorithms.
- Demonstrate the applications of AI and ML.