Eec3501 Machine Learning Lecture 7 PDF
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Summary
This lecture covers various concepts in machine learning such as problem setup, vectorization, direct solution, gradient descent, feature mapping, regularization, and linear classifiers. The presentation also includes illustrations. Suitable for undergraduate students studying machine learning.
Full Transcript
EEC3501 Machine Learning Problem Set up Problem Set up Vectorization Direct Solution Gradient Descent Why ? Feature Mapping Regularization Linear Classifier Attempt 1 Attempt 2 Thanks! Do you have any questions?
EEC3501 Machine Learning Problem Set up Problem Set up Vectorization Direct Solution Gradient Descent Why ? Feature Mapping Regularization Linear Classifier Attempt 1 Attempt 2 Thanks! Do you have any questions?
