In the first module of this MVA course, I will give a short introduction on machine learning, primarily why and when to learn. Following that, I will go into one particular scenario where machine learning is often applied: recommendation engines. Using fruits and music tastes, I will explain the two main recommendation approaches: collaborative and content-based filtering.
[03:12] Introduction to Machine Learning
[08:44] When to learn and what do I need?
[16:59] Recommendations in Netflix
[20:10] Recommendation approaches explained with fruits
[22:53] What music do I want to listen to?
[27:29] Wrapping up
This Channel9 video is part of a free online course on Microsoft Virtual Academy: Building Recommendation Systems in Microsoft Azure.