Machine Learning Lecture 6 | Bayes Rule, Confusion Matrix with Example, Monty Hall problem
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Machine Learning Lecture 6 | Bayes Rule, Confusion Matrix with Example, Monty Hall problem
In this lecture, we explain Bayes Rule, Inference, we explain Sensitivity, Specificity, False Positives, Negative concept, how to form the Confusion Matrix along with an Covid-19 Example, then we explore Monty Hall Problem, and finally we touch upon Inverse Problems. Link to Lecture 1 of this series : https://youtu.be/kMkCOrp8te8?si ...
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