Machine Learning Techniques (BCS055) important questions and topics for AKTU
These are ranked by how often AKTU repeats them across 9 papers. Repeated questions and "very likely" topics are the safest marks in the exam.
Most repeated Machine Learning Techniques questions
- Describe Linear Regression and Logistic Regression with differences. (7 marks, 2026, Logistic Regression) – also asked in 2021, 2023, 2024, 2025
- Derive the Backpropagation algorithm for training neural networks. (7 marks, 2026, Derivation of Backpropagation Algorithm) – also asked in 2023, 2024, 2025
- Explain Genetic Algorithm cycle with suitable example. (7 marks, 2026, GA Cycle of Reproduction) – also asked in 2021, 2022, 2023
- Explain types of kernels used in Support Vector Machines. (7 marks, 2026, Types of Support Vector Kernels) – also asked in 2021, 2023, 2024
- Explain the ID3 algorithm for Decision Tree learning. (7 marks, 2026, ID-3 Algorithm) – also asked in 2024, 2025
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