The lecture also covered applications of Machine Learning in real life such as in driverless cars, advertisements, object recognition, and voice control; machine learning techniques including deep learning, adaptive boosting, linear regression, amongst others; the connection between Machine Learning and astronomy namely in galaxies classification, identifying gamma-ray bursts, meteorite recognition, distinguishing quasars from stars, and a number of promising uses.

This highly informative and engaging lecture enhanced the audience's understanding of Machine Learning and its applications keeping up with SCASS' mission of bringing science closer to the people. It is worth noting that SCASS is in the process of establishing an Artificial Intelligence Laboratory.