PPT Notes | Machine Learning

Machine Learning Notes AKTU Open Elective (2025-2026 New Syllabus) | Best PPTs & Handwritten PDFs

B.Tech / CSE / IT / Open Elective Final year

Are you a B.Tech student looking for the best Machine Learning notes for AKTU? If you are preparing for the AKTU Open Elective 2025-2026 exams, you have landed on the right page. Whether you study at CCSU, SCRIET, or any other AKTU-based college, these resources are designed to help you ace your end-semester exams.

In this blog post, we provide Unit-Wise PPT notes and Handwritten Notes covering the complete Machine Learning AKTU CSE/IT Syllabus. These notes are perfect for last-minute exam revision, clearing concepts, and scoring high marks.

Why These Machine Learning Notes?

• Syllabus Aligned: Strictly based on the 2025-2026 New Syllabus for Open Elective.
• Concise & Clear: Perfect for AKTU Exam Revision.
• Dual Formats: Get both detailed PPTs for understanding and Handwritten notes for writing practice.

Below is the complete unit-wise breakdown.

UNIT I: Introduction to Machine Learning & Concept Learning

Syllabus Covered:

• Introduction: Well-defined learning problems, Designing a Learning System, Issues in Machine Learning.
• The Concept Learning Task: General-to-specific ordering of hypotheses, Find-S Algorithm, List then eliminate algorithm, Candidate elimination algorithm, Inductive bias.

This unit builds the foundation. Download the resources below to master the Candidate Elimination Algorithm and Find-S.

• 📥 Download Unit 1 PPT: Click Here to Open Presentation
• 📝 Access Unit 1 Handwritten Notes: Get PDF Notes

UNIT II: Decision Trees & Artificial Neural Networks (ANN)

Syllabus Covered:

• Decision Tree Learning: Decision tree learning algorithm, Inductive bias, Issues in Decision tree learning.

• Artificial Neural Networks: Perceptrons, Gradient descent and the Delta rule, Adaline, Multilayer networks, Derivation of backpropagation rule, Backpropagation Algorithm Convergence, Generalization.

Focus on Backpropagation and Decision Trees as these are high-priority topics for the AKTU Machine Learning Exam.

• 📥 Download Unit 2 PPT: Click Here to Open Presentation
• 📝 Access Unit 2 Handwritten Notes: Get PDF Notes

UNIT III: Bayesian Learning & Hypothesis Evaluation

Syllabus Covered:

• Evaluating Hypotheses: Estimating Hypotheses Accuracy, Basics of sampling Theory, Comparing Learning Algorithms.
• Bayesian Learning: Bayes theorem, Concept learning, Bayes Optimal Classifier, Naïve Bayes classifier, Bayesian belief networks, EM algorithm.

Understanding the Naïve Bayes Classifier and EM Algorithm is crucial for this unit.

• 📥 Download Unit 3 PPT: Click Here to Open Presentation
• 📝 Access Unit 3 Handwritten Notes: Get PDF Notes

UNIT IV: Computational Learning & Instance-Based Learning

Syllabus Covered:

• Computational Learning Theory: Sample Complexity for Finite Hypothesis spaces, Sample Complexity for Infinite Hypothesis spaces, The Mistake Bound Model of Learning.
• Instance-Based Learning: k-Nearest Neighbour Learning (KNN), Locally Weighted Regression, Radial basis function networks, Case-based learning.

Don't miss out on KNN (k-Nearest Neighbour) and Radial Basis Functions notes provided here.

• 📥 Download Unit 4 PPT: Click Here to Open Presentation
• 📝 Access Unit 4 Handwritten Notes: Get PDF Notes

UNIT V: Genetic Algorithms & Reinforcement Learning

Syllabus Covered:

• Genetic Algorithms: Illustrative example, Hypothesis space search, Genetic Programming, Models of Evolution a⁴nd Learning.

• Learning Rules: Sequential covering algorithms, General to specific beam search, FOIL.

• Reinforcement Learning: The Learning Task, Q-Learning.

The final unit covers advanced topics like Genetic Programming and Q-Learning. Essential for scoring full marks in the theoretical section.

• 📥 Download Unit 5 PPT: Click Here to Open Presentation
• 📝 Access Unit 5 Handwritten Notes: Get PDF Notes

Final Words for AKTU Students

We hope these Unit Wise PPT notes of Machine Learning help you in your preparation. These materials are specifically curated for AKTU Open Elective streams. Whether you are from SCRIET, CCSU, or other affiliated colleges, these are the best for learning and quick revision.