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Showing posts from November, 2023

Machine Learning – Recommended YouTube Learning Resources

​ 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, NaΓ―ve Bayes, evaluation metrics, and Artificial Neural Networks. πŸ“˜ 1. Introduction to Machine Learning πŸ”—  https://youtu.be/7vbPliN2xuQ πŸ“˜ 2. Similarity Measures πŸ”—  https://www.youtube.com/watch?v=7ix4-E9oc0k πŸ“˜ 3. Correlation πŸ”—  https://youtu.be/Dvc7LSk4GpU πŸ“˜ 4. Data Reduction πŸ”—  https://youtu.be/9zc7NC0EBek πŸ“˜ 5. Decision Tree – Part 1 πŸ”—  https://youtu.be/zQxXnj-cn_4 πŸ“˜ 6. NaΓ―ve Bayes πŸ”—  https://youtu.be/HL6bEWZWxmc πŸ“˜ 7. Metrics for Evaluating Classifiers πŸ”—  https://youtu.be/OaqEBhykDOE πŸ“˜ 8. Artificial Neural Networks (ANN) Part 1 πŸ”—  https://youtu.be/iTsV_4D_ygg Part 2 πŸ”—  https://youtu.be/gbfADFk4X9A Part 3 πŸ”—  https://youtu.be/NoyBTW5NKxc πŸ“’  S...