· Why we need it
· What it can and can’t do
· Limitations – Heuristics – not really smart
· Supervised and unsupervised methods
· Intro to working environment: Python with numpy & scipy
· Machine learning algorithms
· Naïve base
· SVM
· Decision trees
· Regression (linear prediction)
· Outliers extractions
· Feature scaling
· PCA
· Machine learning platforms by Apache, Matlab, Amazon
· Well select one example according to student preferences
· Summary Exercise -> Processing path
· Q&A