Вернуться к Mathematics for Machine Learning: Linear Algebra

# Отзывы учащихся о курсе Mathematics for Machine Learning: Linear Algebra от партнера Имперский колледж Лондона

4.7
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Оценки: 9,670
Рецензии: 1,948

## О 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

CS
31 мар. 2018 г.

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

PL
25 авг. 2018 г.

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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## 276–300 из 1,939 отзывов о курсе Mathematics for Machine Learning: Linear Algebra

автор: Salem A

14 июня 2020 г.

A simple background on linear algebra is useful to complete the course. It is not necessary, however, because the instructors are going to teach you everything you need in a clear and concise manner which was great.

автор: Sanjay G

7 мар. 2020 г.

If you are thinking/looking to do your career in machine learning or want to brush up your linear algebra concept and how this is used in Machine learning, then this course must consider or added to the to-do list.

автор: Linc T J J

29 нояб. 2019 г.

i really enjoyed the short and concise lessons and the notebook exercises to summarise and put to practice all the learning after the end of each week. Content is easy to understand and follow。 Thank you Imperial!!

автор: Saurav K

4 янв. 2019 г.

This is an amazing course. With right blend of assignments and quizzes . The lectures are very clear and nice examples have been used to simplify the content to an extent that any one can easily grasp the concepts.

автор: JISHNU B

7 дек. 2018 г.

This is a very good course - less of symbols and more of intuition,which is more important in applications. Profs are excellent communicators - even if you zero knowledge of the subject - you will get 100% of it...

автор: Md. S S

27 июля 2020 г.

Some of assignment problems were really challenging: especially in the Eigenvalue problems, in 5 th module. If anyone listen every single word of the instructor, he will definitely overcome. Very concise lectures.

автор: Sumedh K R

19 апр. 2020 г.

The course provides focuses on developing intuition to understand the math required to solve problems with only a fair amount of hand calculations. Looking forward to completing the courses in this specialization!

автор: 高宇

20 июня 2019 г.

This course is designed at a good structure and show me many intuitives on linear algebra. It does not need heavy hand calculation, instead, it brings me into the underlying zen and to a fast track of application.

автор: Diego C

20 янв. 2021 г.

The professors have done a terrific job at making linear algebra understandable -at an intuitive level-, applicable, and enjoyable. I'm confident this class will help me dive deeper into machine learning topics.

автор: Ahsan G

15 июля 2020 г.

The assignments were well designed. I have taken linear algebra as a part of my degree but this course really helped me understand the concepts and introduced me to the practical applications of linear algebra.

автор: GNANARAJ

25 мая 2020 г.

This course has explored the application of Linear Algebra in Machine Learning. Now only I understand the use of linear algebra. I am capable of now imparting the knowledge gained in this course to my students.

автор: Mike W

16 мар. 2020 г.

Really good course for building an intuitive understanding of the concepts, as opposed to just rote memorization of formulas. Assignments also reinforce the concepts learned. Very relevant to machine learning.

автор: jim p

15 июля 2018 г.

While not particularly difficult material, course seems designed to build intuition more than just grinding tediously through the mechanics. Grounded in practical examples. And extraordinarily well presented.

автор: Clara M L

12 апр. 2018 г.

I like how they are able to visualise everything.

Since I am good at understanding abstract concepts I didn't really have the need to visualise, so it was nice to get a different perspective on Linear Algebra.

автор: Kunal A

1 мая 2020 г.

It was an awesome experience to learn how algebra can be conveyed through a computer code. The lecturers at Imperial college shared co-operative videos of learning. Coursera's subscription also helped a lot!

автор: shihab s

24 апр. 2020 г.

I would like to recommend every CS students to take this course to feel the essence of Linear Algebra. Well understandable couse it is and also the teachers are great and explaination was too understandable.

автор: Sumith N

26 сент. 2019 г.

Sooooooperb course! The intuition developed by the professors was so so so magnificent that, you can apply this knowledge anywhere. Physics, signal processing and data science. Enjoyed the course throughout!

автор: Noor A

5 июля 2019 г.

Great course. Had a lot of fun building my intuition of Linear Algebra. With the unique way its taught id say its a must course for any bachelor's student who wants to get into the world of machine learning.

автор: Akshay L

7 июня 2019 г.

This is one of the best refresher course on Algebra for anyone who is getting into the field of Machine Learning and Data Science.

I learned so much from the course for these past couple of weeks.

Great work.

автор: Chandra B

13 июля 2020 г.

This is very intuitive about the application of the concept mentioned in the course content which does not helps only in understanding the fundamentals but also it helps in applying it to the real problems.

автор: Aditya D

9 сент. 2020 г.

So great to have you as my lecturer(s), thank you so much to bring more point of view that i hadn't known about linear algebra and machine learning, i'm glad that i got more than wahat i've learned before.

автор: Alekhya C

7 июня 2020 г.

I would like to thank Vignana Bharathi Institute Of Technology and Imperial College London for giving such a wonderfull opportunity during this lockdown.This course made me to become inquisitive asusually.

автор: Mahmoud S

19 сент. 2019 г.

I wish I was taught all of math this way, The instructors were able to show the intuition of a lot of basic concepts and deepen my understanding of them. Highly recommend for anyone doing Machine Learning.

автор: Jayanth

2 мая 2020 г.

It's very interactive course for the beginner's who are good in python programming ,you can learn the standard techniques for machine learning and this course will show the path for your career interest's

автор: Jaiber J

7 апр. 2020 г.

Excellent course, need to listen carefully to every sentence the instructor speaks or we miss something that will result in not solving the assignments. I liked the way the concepts are explained clearly.