21AI51 Dayananda Sagar University • CSE — Artificial Intelligence & Machine Learning (Semester 5)

Foundations of Machine Learning

💡 DSU Exam Strategy & Guidance

Linear & Logistic Regression, Decision Trees (ID3/C4.5 Entropy & Information Gain), SVM (Kernel Trick), Naive Bayes Classifier, and Evaluation Metrics (ROC-AUC, Precision/Recall/F1).

High-Yield Passing Strategy: Practice Information Gain numerical calculations for Decision Tree root node selection.
Most Repeated Question Topics:
Decision Tree Information Gain & Entropy CalculationsSVM Margin Maximization & Dual FormulationBias-Variance Tradeoff & Regularization (L1/L2)Naive Bayes Classification Probability NumericalK-Means Clustering Step-by-Step

📄 Previous Year Question Papers (2)

END_SEM • 2024

End Semester Exam 2024

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END_SEM • 2023

End Semester Exam 2023

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