GATE Machine Learning – Previous Year Questions by Topic

GATE Machine Learning (Data Science and Artificial Intelligence) previous year questions, topic by topic: Supervised learning: regression, Supervised learning: classification, Bias-variance trade-off and cross-validation, Multi-layer perceptron and feed-forward neural networks, Unsupervised learning: clustering, Dimensionality reduction and principal component analysis.

• Supervised learning: regression 4 questions
• Supervised learning: classification 12 questions
• Bias-variance trade-off and cross-validation 1 questions
• Multi-layer perceptron and feed-forward neural networks 4 questions
• Unsupervised learning: clustering 4 questions
• Dimensionality reduction and principal component analysis 3 questions