No posts tagged #machine-learning.
A reasonably comprehensive overview of some of the most popular machine learning algorithms and libraries in Python and R.Read More
An in-depth course taught by a world-class machine learning practitioner, Jeremy Howard, who goes into state-of-the-art techniques for structured and unstructured datasets.Read More
Taught by two world-renowned statisticians at Stanford, this course gives a far more statistical treatment of machine learning concepts for beginners with some stats background.Read More
An interesting course that takes students through the data preparation and model building processes integral to practising data science, with a focus on GUI software rather than coding in Python or R.Read More
A comprehensive look at the world of data mining, with a broad focus on the fundamental underlying concepts, and a practical look at a number of algorithms, from trees to deep learning.Read More