Machine learning basics. This part briefly introduces the fundamental ML problems-- regression, classification, dimensionality reduction, and clustering-- and the traditional ML models and numerical ...

Creating good presentations has always been an important part of learning and teaching. Students use slides to explain ideas, ...

This course is an introduction to machine learning concepts, techniques, and algorithms. Topics include regression analysis, statistical and probabilistic methods, parametric and non-parametric ...

Spending some time with the 2018 edition of Mary Meeker’s annual Internet Trends presentation should lead higher ed people to draw the following conclusions: Mary Meeker is not hanging out with ...