Practical Machine Learning, by Michael Jordan (UC Berkeley).
From the course webpage:
This course introduces core statistical machine learning algorithms in a (relatively) non-mathematical way, emphasizing applied problem-solving. The prerequisites are light; some prior exposure to basic probability and to linear algebra will suffice.
This is the Michael Jordan who gave a Posner Lecture at the 24th Annual Conference on Neural Information Processing Systems 2010.