![]() The course spans seven days and expects the learner to have a foundational knowledge of machine learning models, python, and linear algebra. His mini-course covers common calculus concepts used in machine learning along with python exercises. He is an AI/ML expert with a knack to explain theoretical and maths-heavy machine learning concepts in the form of practical and code-oriented formats. One bonus tip to learn calculus in seven days is a mini-course from Jason Brownlee. Each course requires a time commitment of 6-10 hours per week and spans around 13-15 weeks. ![]() The program is a series of three courses - Differentiation, Integration and Coordinate Systems, and Infinite Series. How to approximate complicated functions by a series of simpler functions.The calculus of parameterized curves and polar coordinates.Applications of the derivative and integral such as in optimizing the cost of production or computing the stress on a construction beam.How to use linear and quadratic approximations of functions to simplify computations and gain insight into the system behavior.Various ways to interpret the derivative and integral of a function and how to compute these quantities. ![]() Quoting from the course webpage, learners will understand The key takeaway from the course is that it not only explains the geometrical interpretation but also aids the learning with real-world application of such mathematical concepts It is an exhaustive and advanced level program offered by MIT to master the concepts of calculus and learn how to compute derivatives and integrals. The course is hosted at Coursera and provides a shareable certificate upon completion.ĥ. The course explains the foundational concepts like precalculus, tangents, limits, etc. The course is taught by Associate Prof David Easdown and is offered by the University of Sydney. It is an intermediate-level course that takes 59 hours to complete over five weeks. Introduction to Calculus by the University of Sydney You can also watch the video playlist of this online specialization here.Ĥ.
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