Tag: machine learning

Lecture 7: Learning from Massive Datasets

Lecture 7: Learning from Massive Datasets from Marina Santini In this lecture we explore how big datasets can be used with the Weka workbench and what other issues are currently under discussion in the real world, for ex: big data…

Lecture 6: Ensemble Methods

Lecture 6: Ensemble Methods from Marina Santini What is an “ensemble learner”? How can we combine different base learners into an ensemble in order to improve the overall classification performance? In this lecture, these questions are addressed.

Lecture 5: Structured Prediction

Structured prediction or structured learning refers to supervised machine learning techniques that involve predicting structured objects, rather than single labels or real values. For example, the problem of translating a natural language sentence into a syntactic representation such as a…

Reblogging: Practical advice for machine learning

Practical advice for machine learning: bias, variance and what to do next By Mikael Huss at Follow the data (http://followthedata.wordpress.com/about/) The online machine learning course given by Andrew Ng in 2011 (available here among many other places, including YouTube) is highly recommended in its…