Machine Learning – Recommended YouTube Learning Resources

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The Department of Computer Science & AI/ML is pleased to share the following curated YouTube video resources to support student learning in Machine Learning.

These videos cover key concepts including similarity measures, correlation, data reduction, decision trees, Naïve Bayes, evaluation metrics, and Artificial Neural Networks.

📘 1. Introduction to Machine Learning

🔗 https://youtu.be/7vbPliN2xuQ

📘 2. Similarity Measures

🔗 https://www.youtube.com/watch?v=7ix4-E9oc0k

📘 3. Correlation

🔗 https://youtu.be/Dvc7LSk4GpU

📘 4. Data Reduction

🔗 https://youtu.be/9zc7NC0EBek

📘 5. Decision Tree – Part 1

🔗 https://youtu.be/zQxXnj-cn_4

📘 6. Naïve Bayes

🔗 https://youtu.be/HL6bEWZWxmc

📘 7. Metrics for Evaluating Classifiers

🔗 https://youtu.be/OaqEBhykDOE

📘 8. Artificial Neural Networks (ANN)

Part 1
🔗 https://youtu.be/iTsV_4D_ygg

Part 2
🔗 https://youtu.be/gbfADFk4X9A

Part 3
🔗 https://youtu.be/NoyBTW5NKxc

📢 Students are encouraged to watch these videos regularly to strengthen conceptual understanding and support exam preparation.

— Department of Computer Science & AI/ML

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