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Lecture 13 Merged by MECHANICAL Engineering is a document available to read on EtoBox.
What is Lecture 13 Merged about?
The document discusses probabilistic modeling in machine learning, focusing on estimating probability distributions for supervised and unsupervised learning. It explains concepts like Maximum Likelihood Estimation (MLE) and Maximum-a-Posteriori (MAP) estimation, highlighting their roles in parameter estimation and the importance of prior distributions to prevent overfitting. The document also illustrates these concepts through examples, such as coin toss outcomes, and emphasizes the significance of posterio
- Author
- MECHANICAL Engineering
- Language
- EN