algebra

Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

이 과정은 선형 대수 개념을 통해 머신러닝 알고리즘, 특히 딥러닝과 신경망을 이해하고 만드는 데 필요한 내용을 다룹니다. 확률, 통계, 최적화에 대한 응용을 포함하여 선형 대수의 전반적인 설명을 제공합니다.
Linear Algebra

This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics, social sciences, natural sciences, and engineering. It parallels the combination of theory and applications in Professor Strang’s textbook Introduction to Linear Algebra.
Engineering Math: Differential Equations and Linear Algebra

This course covers essential mathematical concepts widely used in mechanical engineering, focusing on linear algebra and ordinary differential equations (ODEs). Learners will explore numerical methods for solving systems of equations and apply these techniques to real-world engineering problems.

algebra

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