## Finished Machine Learning Course

I had couple of ML-related courses at University and used it in practice, but, still it was very interesting to review and refresh the core concepts.

Especially from such a badass ML expert as Andrew Ng, with lots of **practical examples** and advices.

My Notes and the Course by Andrew Ng.

**Supervised / Unsupervised Learning**.- Linear Regression, Logistic Regression, SVM.
**Neural Networks**.- K-means,
**PCA**, Anomaly Detection. - Recommending Systems,
**Collaborative Filtering**. - Bias / Variance, Regularization, Precision / Recall, Learning Curve etc.
- How to gather, amplify and generate
**Learning Data**.