What is Machine Learning? List advantages and limitations of the Machine Learning.
[7 marks]Explain the following terms :
[7 marks]FOCL v) Inductive Bias ii)ANN vi) Concept learning iii) Hypothesis vii) Testing data set iv) Training data set
[ marks]What is Perceptron? Explain Gradient descent in details.
[7 marks]How information gain and entropy used? Explain with short example
[7 marks]Explain Bayes theorem in detail.
What is Neural Network Representation? Explain with example.
[7 marks]What is decision tree? Explain various issues in the Decision Tree Learning
[7 marks]Discuss Backpropagation algorithm in detail
[7 marks]Discuss K-nearest Neighbor algorithm in detail.
[7 marks]What is Brute-Force Bayes concept learning? Explain with example.
[7 marks]How sequential covering algorithm works? Explain with suitable example.
[7 marks]What is Case –Based Reasoning (CBR)? How it helps in learning? Explain with suitable example
[7 marks]What is Eager Learning method? Explain any one Eager Learning method.
[7 marks]Compare supervised, unsupervised and reinforcement algorithm with suitable example.
[7 marks]What is First-Order Horn Clauses? How it helps in learning? Explain with example.
[7 marks]What is VC dimension? How it is used?
[7 marks]