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Вернуться к Mathematics for Machine Learning: Linear Algebra

Mathematics for Machine Learning: Linear Algebra, Имперский колледж Лондона

Оценки: 2,136
Рецензии: 375

Об этом курсе

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before. At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning....

Лучшие рецензии

автор: NS

Dec 23, 2018

Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

автор: PL

Aug 26, 2018

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

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Рецензии: 376

автор: Andrew Khuhlin

Feb 17, 2019

great visual explanations of concepts, but the course could have been more informative

автор: Prashant Dabholkar

Feb 17, 2019

Good explanation. Some of the exercises and quizzes need a deeper understanding of the course content

автор: David Bernal

Feb 16, 2019

The video approach to this course is really amazing. The visuals presented and the ease in understanding touch mathematical concepts made this course fantastic to take. Although I would have preferred more challenging quizzes and programming assignments the material taught was still world class.

автор: gregorius airlangga

Feb 15, 2019

Very Good Math Lecture!

автор: Yevhenii Sharov

Feb 15, 2019

Very good course. It well structured, good lectures and assignments. It gives enough intuition and refresh to move forward. Thank you team!

автор: adam mcquistan

Feb 12, 2019

reasonably well constructed and presented material

автор: Hariharasudhan A S

Feb 12, 2019

A good introduction, would recommend referring a textbook along with the course.

автор: Juan Ignacio Benitez Ramos

Feb 10, 2019

muy bien estructurado, los exámenes se disfrutan debido a que se entienden los conceptos y las preguntas con conseptualmente profundas, no los intentes si no has visto los vídeos.

автор: Tomáš Rokos

Feb 10, 2019

perfect recap of necessary terminology and math algorithms, great course


Feb 10, 2019

Awesome way to quickly revise some linear algebra concepts.