Highlights
Q1 Define the following based on your understanding with real examples.
? Define AI, Machine learning and Deep learning.
? Define Parametric and Nonparametric models.
? Define Supervised learning and its components with examples.
? Define Unsupervised learning and its components with examples.
? What are the common types of error in Machine learning?
Q2 Define the following
? Define Data sampling and its steps with examples. (200 words)
? Define Decision tree, Information gain and Entropy. (200 words)
? Define Chinese restaurant algorithm and Agglomerative Hierarchical Clustering with example.
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