605.449- Introduction to Machine Learning
Johns Hopkins is consistently ranked one of the top universities worldwide, with many schools and departments ranked best in the world. Our excellence cross departmental community of machine learning faculty work on both General purpose ML as well as more domain - Specific ML methods. They also survey machine Learning focus areas. Our goal as machine learning researchers is to understand underlying scientific phenomena and mechanism, also make optimal decision, predict the future, detect errors or compensate for missing data.
605.449 - which contains programing projects, for example Project 1- which gives an introduction to machine learning by implementing two fairly simple learning algorithms. These two algorithms are called Winnow-2, Naïve Bayes.
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