CSE 4621 (Machine Learning)

CSE 4621 (Machine Learning) (Download ⬇️)

⬇️ Additional Resources

• 🌎 A Tutorial Principal Component Analysis - Lindsay I. Smith
• 🌎 Machine Learning (Coursera) - Andrew Ng

⬇️ Assignments

⬇️ Support Vector Machines

• 📄 Assignment

⬇️ Graphics

• 🖼️ 1.svg
• 🖼️ 2.svg
• 🖼️ 3.svg

⬇️ Notes

• 📄 01. Introduction
• 📄 02. Simple Linear Regression
• 📄 03. Gradient Descent
• 📄 04. Convexity
• 📄 05. Multivariate Linear Regression
• 📄 06. Polynomial Regression
• 📄 07. Normal Equation
• 📄 08. Logistic Regression
• 📄 09. Multiclass Classification
• 📄 10. Regularization
• 📄 11. Neural Networks
• 📄 12. Evaluating a Learning Algorithm
• 📄 13. Convolutional Neural Networks
• 📄 14. Naïve Bayes Classifier
• 📄 15. Decision Trees
• 📄 16. Unsupervised Learning
• 📄 17. Cluster Analysis
• 📄 18. Support Vector Machines