Answer following: 1. Define feature. 2. Describe ReLU function. 3. Stock market prediction is a classification task. (True/False) 4. Define slope.
[4 marks]Discuss qualitative data and quantitative data.
[3 marks]Explain applications and tools of machine learning.
[7 marks]Discuss reinforcement learning in detail.
[4 marks]Differentiate predictive models and descriptive models.
[3 marks]List the feature extraction algorithms available. Explain any one in brief.
[7 marks]Discuss ensembling of models in detail.
[7 marks]Define Bayesian learning. Discuss the importance of Bayesian learning methods.
[7 marks]Explain holdout method for training a model in detail.
[7 marks]Discuss the concept of independence and conditional independence with reference to Bayesian belief network.
[7 marks]Discuss the working of KNN algorithm.
[7 marks]Define regression analysis. Explain multiple linear regression in detail.
[7 marks]Discuss the partition based clustering techniques in detail.
[7 marks]Discuss following terms with reference to association rules. 1. Support 2. Confidence
[7 marks]Discuss the structure of artificial neuron.
[7 marks]Define hyperplane. Explain SVM in brief.
[7 marks]Explain hierarchical clustering algorithm.
[7 marks]Explain following: 1. Multi-layer feed forward ANN 2. Recurrent Network
[7 marks]Explain backpropagation algorithm.
[7 marks]