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CMPUT 328 Midterm Exam Solutions by sourab jain is a document available to read on EtoBox.
The document contains solutions to 6 questions regarding machine learning algorithms and concepts: 1. Fits a linear regression model to example data and finds the best value for α and the optimal total sum of square error. 2. Implements linear regression for data with Laplacian noise and finds the maximum likelihood estimator. Notes that MAE is the appropriate loss function. 3. Classifies student effort data using a modified Naive Bayes approach and constructs a confusion matrix. 4. Derives an equati
- Author
- sourab jain
- Language
- EN