Eec3501 Machine Learning Lecture 7 PDF
Document Details
Uploaded by ManeuverableSanity7698
Tags
Related
- CS488-Ch-9A Machine Learning PDF
- Lectures of Pattern Recognition: Sohag University PDF
- DST301 Artificial Intelligence Applications Lecture 02 - Machine Learning PDF
- Bayesian Machine Learning Lecture PDF
- CPCS-335 Introduction to Artificial Intelligence Lecture 8 PDF
- Artificial Society Lectures AS pt1 PDF
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?
