Machine-Learning-with-Andrew-Ng-on-Coursera

Topics Learned

1. Introduction to Machine Leanring
2. Linear Regression with One Variable
3. Linear Regression with Multiple Variables
4. Octave/Matlab Tutorial
5. Logistic Regression
6. Regularization
7. Neural Networks: Representation
8. Multi-class Classification and Neural Networks
9. Neural Networks: Learning
10. Advice for Applying Machine Learning
11. Regularized Linear Regression and Bias/Variance
12. Machine Learning System Design
13. Support Vector Machines
14. Unsupervised Learning
15. Dimensionality Reduction
16. Principal Component Analysis
17. Anomaly Detection and Recommender Systems
18. Large Scale Machine Learning
19. Application Example: Photo OCR

Certificate

https://www.coursera.org/account/accomplishments/verify/YYKSEGTHNNQA