People are great at finding patterns. Whether it’s identifying pictures, sorting information, or estimating values, humans can do it all without even realizing that it’s difficult. But everyone has limits, and when there are three hundred variables to keep track of and thousands of elements to process, something new is needed.
Machine learning swoops in where humans fail. This course develops the mathematical basis needed to truly understand how problems of classification and estimation work. We'll develop the techniques needed to analyze data and apply these techniques to real-world problems
Get your basics in line.
Classifying both quantitative and qualitative data.
Explore this versatile model and related ideas like bagging, random forests, and boosting.
Coming soon!
Coming soon!
Coming soon!
Coming soon!
Coming soon!
Coming soon!
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