Topics:

1. Introduction to Machine Learning
2. How does Machine Learning works?
3. Supervised, Semi supervised and Unsupervised Learning
4. Parametric and Non Parametric methods
5. Support Vector Machine (SVM) (Not too technical)
6. Hands on training using SVM