Completed Week 8 Content and ex7. This past week covered Unsupervised Learning methods such as K-Means, which is a great starting point, but comes with many disadvantages as described in this article. We also learned about Dimensionality Reduction with Principle Component Analysis (PCA). The mathematical proof for PCA algorithm was not provided, so I will be brushing up knowledge on eigenvectors/eigenvalues to get a better intuitive understanding. I plan to complete Week 9 Content by next week. Since Week 10 and Week 11 are each relatively short, I believe I can also finish them by next week.
Coursera
Completed Week 8 Content
Completed Programming Assignment: K-Means Clustering and Principal Component Analysis (ex7)
Ongoing Tasks
Coursera
Week 9 Content
Programming Assignment: Anomaly Detection and Recommender Systems (ex8)
Week 10 Content
Week 11 Content