I’ve recently completed the Artificial Intelligence (AI) Online Lectures taught by professor Patrick Henry Winstonby of MIT. The entire series contains 23 pre-recorded YouTube videos ( around 50 minutes long per video). The lecture series covers Artificial Intelligence in general and some techniques, such as the Goal Tree, Search, Genetic Algorithm, Neural Net, Probabilistic Inference, Nearest Neighbour, Support Vector Machine (SVM), etc.

In order to really gain the intuition of what techniques are good for what, I believe a good next step would be to try working through some real machine learning problems.

Kaggle data science competitions seem a good place to start. The journey is getting more and more exciting…