01 | Machine Learning & Recommenders

Play 01 | Machine Learning & Recommenders
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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.



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