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Learn Mathematics, earn certificates with free online courses from Harvard, Stanford, MIT, University of Pennsylvania and other top universities around the world. Read reviews to decide if a class is right for you.
Explore π's diverse applications in computer science with Donald Knuth, from numerology to boolean functions, puzzles, and pseudocode, in this engaging Stanford lecture.
Master essential mathematical concepts - linear algebra, calculus, optimization, and statistics - to build a solid foundation for understanding and implementing deep learning algorithms effectively.
Develop critical thinking skills for computer science through induction, recursion, logic, and invariants. Solve interactive puzzles to grasp key concepts in algorithms, data science, and machine learning.
Capstone project applying computational fluid dynamics to calculate fluid flow around a cylinder. Includes MATLAB programming assignments and requires prior knowledge in advanced mathematics.
Explore artificial intelligence and machine learning with a focus on data handling challenges, covering topics from associative arrays to bio sequence cross-correlation and Kronecker graphs.
Explore fundamental concepts of metric spaces, including metrics, sets, functions, completeness, and compactness. Gain a solid foundation in topological principles and their applications.
Implement efficient Python programs for the traveling salesman problem, exploring exact and approximation algorithms while applying discrete mathematics concepts.
Explore the fascinating world of imaginary numbers, from their historical origins to complex functions and Riemann surfaces, in this comprehensive mathematical journey.
In this course you'll gain an introduction to the modern study of dynamical systems, the interdisciplinary field of applied mathematics that studies systems that change over time.
Explore complex functions, differentiation, integration, and power series. Delve into conformal mappings, Laurent series, and the Residue Theorem. Gain insights into complex dynamics and the Riemann hypothesis.
Comprehensive engineering mathematics program covering matrix algebra, differential equations, vector calculus, and numerical methods, with MATLAB integration for practical problem-solving skills.
Concise overview of foundational mathematics critical for Data Science careers, covering algebra, calculus, linear algebra, and numerical analysis. Prepares learners for advanced studies and applications in the field.
This course introduces the fundamental math used in AI as a review and refresher in preparation for more comprehensive course work.
This tutorial contains excerpts from David Feldman's Dynamical Systems course.
Learn everything from the basics of math, then test your knowledge with 510+ practice questions
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