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Machine Learning

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

What is this?
A collection of interactive quizzes that will teach you the underpinnings of neural networks, written by experts and guided by Brilliant.org's 10 Principles for Learning.

Who is this for?
This course is for people who want to understand the basics of machine learning and then see how to apply those fundamentals to solving modern problems in data analysis.

What should I know?
You'll need an understanding of probability and linear algebra. Knowledge of statistics will be helpful.

What's inside?
A series of quizzes containing hundreds of carefully crafted guided problems and explanations. It will take approximately 10-20 hours to complete.


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