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Matrix Methods

Matrix Methods

Name: Matrix Methods
Rating: 4.076305220883534 (249 reviews)

Instructor: Daniel Boley

13,758 already enrolled

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5 modules

Gain insight into a topic and learn the fundamentals.

249 reviews

Intermediate level

Some related experience required

7 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

249 reviews

Intermediate level

Some related experience required

7 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Python Programming

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

18 assignments

Taught in English

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There are 5 modules in this course

Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction. Optional examples using Python are used to illustrate the concepts and allow the learner to experiment with the algorithms.