Exploring Amat502 Lecture 1
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- Logistic regression. Review of Bayesian Inference and maximum likelihood. Importance of rescaling your data demonstrated on ...
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- Bias-Variance Tradeoff and the validation curve. Using holdouts and cross validation to get a better idea of how valid your model ...
- More on Functions, Recursion, Strings and Lists with an application to the "Subset Sum" problem.
- MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023 Instructors: Alan Edelman, Steven G. Johnson View ...
In-Depth Information on Amat502 Lecture 1
Intro to the Conditionals and Loops. Intro to the Bisection Search and Follow-up on Functions, Local and Global variables.
Review of Linear Classifiers and Intro to Support Vector Machines. Separating Hyperplane Theorem, convex hulls, support ...
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