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Machine Learning and Artificial Intelligence Principles

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The payment is 100% refundable if you cancel before the first session, 50% if you withdraw before the second session, and 0% refund if withdraw after the second session. To request a refund, please contact [email protected]


Because there will not be any introductory Python material taught in this course, students should have firm knowledge of that programming environment. If you’re not comfortable coding in Python, please keep working at it and join us in the (hopefully very near) future!

Additionally, students should have a basic understanding of vector and matrix algebra (how to add and multiply vectors/matrices), as well as basic understanding of the notion of a mathematical function (e.g., understanding what f(x)=x^2 or f(x) = sin(x) means). Knowledge of basic calculus and linear algebra is helpful but not required (e.g., how to take derivatives, what a linear system of equations is, etc.). A quick refresher on these topics will be provided. Note: Knowledge of statistics is not required for this course.

In order to confirm a spot in the course, payment must be completed on the next page.