Copyright (C) 2014 Cloudzfy. All Rights Reserved.
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Note: This project is the homework for Stanford Machine Learning Course.
I took the Stanford Machine Learning course via Coursera.org, and gained a lot from it. This course was given by Professor Ng. He gave me the background knowledge of machine learning. After this course, I realize the importance of linear algebra. From now, I will start to review and knowledge from my university lecture and find something interesting to learn. Hope you can have the similar harvest. Good luck!
- Linear Regression
- Logistic Regression
- Multi-class Classification and Neural Networks
- Neural Network Learning
- Regularized Linear Regression and Bias/Variance
- Support Vector Machines
- K-Means Clustering and PCA
- Anomaly Detection and Recommender Systems
This project is designed by @cloudzfy as a self-study record. If you have any suggestion about the course schedule, please contact Porfessor Andrew Ng directly.
If you have any trouble on this project, please submit it to our Issue Tracker, thank you.
For more information about this project, please visit HERE.