Machine Learning Course
I have completed the excellent online course Machine Learning given by Andrew Ng from Stanford University. I am proud of my overall performance - 100% = the best possible score.
The course took 11 weeks from December 2016 to February 2017. The following topics were covered:
- Supevised learning: linear regression, logistic regression, neural networks, SVM (Support Vector Machines)
- Unsupevised learning: K-means clustering, PCA (Principal Component Analysis), anomaly detection
- Special topics: recommender systems, large scale machine learning
- Tips and tricks: Bias/variance consideration, regularization, learning curves, error analysis, ceiling analysis
- Programming in Octave