LAQ
1. What what is well post learning? Discuss about well post problem
2. Explain the face recognization
3. Explain about find-s finding maximum specific hypothesis
4. What is ANN? Explain about multi layer network
5. Explain the back propagation algorithm
6. Explain the bayes theorem
VSAQ 2M
1. Application of machine learning.
2. Decision tree learning
3. Basic design is of ml
4. Differentiate between gradient and stochastic
5. Define the concept of learning and version space
6. Define motivation
7. What is artificial neural network
8. Differences in error of 2 hypothesis
9. Bayes theorem
10. How to compare the learning algorithm
Pdf answers 👇👇
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