Machine Learning — Winter 2024

Answer following: 1. Define feature. 2. Describe ReLU function. 3. Stock market prediction is a classification task. (True/False) 4. Define slope.

Discuss qualitative data and quantitative data.

Explain applications and tools of machine learning.

Discuss reinforcement learning in detail.

Differentiate predictive models and descriptive models.

List the feature extraction algorithms available. Explain any one in brief.

Discuss ensembling of models in detail.

Define Bayesian learning. Discuss the importance of Bayesian learning methods.

Explain holdout method for training a model in detail.

Discuss the concept of independence and conditional independence with reference to Bayesian belief network.

Discuss the working of KNN algorithm.

Define regression analysis. Explain multiple linear regression in detail.

Discuss the partition based clustering techniques in detail.

Discuss following terms with reference to association rules. 1. Support 2. Confidence

Discuss the structure of artificial neuron.

Define hyperplane. Explain SVM in brief.

Explain hierarchical clustering algorithm.

Explain following: 1. Multi-layer feed forward ANN 2. Recurrent Network

Explain backpropagation algorithm.