Machine Learning Techniques (BCS055) important topics for AKTU – unit-wise
Topics are ranked by how many times AKTU asked them across 9 papers. Finish the "very likely" topics first, then the top topics of each unit.
High-probability Machine Learning Techniques topics
- Types of Learning (Unit 1: Introduction) – asked 13 times in 2021, 2022, 2023, 2024, 2025, 2026
- Derivation of Backpropagation Algorithm (Unit 4: Artificial Neural Networks and Deep Learning) – asked 8 times in 2021, 2023, 2024, 2025, 2026
- Logistic Regression (Unit 2: Regression, Bayesian Learning and Support Vector Machine) – asked 7 times in 2021, 2023, 2024, 2025, 2026
Most asked Machine Learning Techniques topics in each unit
- Unit 1 (Introduction): Types of Learning – 13 times; Well-Defined Learning Problems – 6 times; Designing a Learning System – 4 times
- Unit 2 (Regression, Bayesian Learning and Support Vector Machine): Logistic Regression – 7 times; Naive Bayes Classifier – 6 times; Concept Learning – 5 times
- Unit 3 (Decision Tree Learning and Instance-Based Learning): Issues in Decision Tree Learning – 7 times; k-Nearest Neighbour Learning – 6 times; ID-3 Algorithm – 4 times
- Unit 4 (Artificial Neural Networks and Deep Learning): Derivation of Backpropagation Algorithm – 8 times; Types of CNN Layers – 6 times; Gradient Descent and the Delta Rule – 4 times
- Unit 5 (Reinforcement Learning and Genetic Algorithms): Q Learning – 7 times; GA Cycle of Reproduction – 7 times; Introduction to Reinforcement Learning – 6 times