Machine Learning — Winter 2025

Differentiate between human learning and machine learning

Write the list of state-of-the-art languages/tools used in machine learning. Explain on any four of them.

Explain Feature transformation and its type. Explain one of the type of it.

Draw flow chart of overall feature selection process and explain it in detail.

Draw classification chart for the data types in machine learning. Explain “Nominal” data type with example.

Explain Brute-force Bayesian algorithm with in detail.

Differentiate between supervised and unsupervised machine learning.

Find the variance and standard deviation for both samples. Form the value of variance and standard deviation, write comparison comment for samples. Sample 1 values : 49, 44, 46, 42, 48, 45, 47, 43, 50 Sample 2 values : 28, 34, 46, 32, 59, 39, 58, 52, 54

Explain Bayesian belief network in detail.

Explain k -Nearest Neighbour algorithm.

Explain simple regression with equation and examples

Explain logistic variable linear regression with equation and example

Explain Random Forest algorithm.

For association rule learning, explain Apriori algorithm in detail.

Explain backpropagation in Neural Network with example.

Explain K-mediods algorithm.

Explain types of activation functions in Neural Network.