Mathematics for Machine Learning: Linear Algebra(으)로 돌아가기

별점

10,701개의 평가

•

2,126개의 리뷰

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....

EC

2019년 9월 9일

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

PL

2018년 8월 25일

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.

필터링 기준:

교육 기관: Deleted A

•2020년 10월 23일

It feels a bit intimidating at first!

Then you realize that it was a while ago since you needed this part of the brain.

Things might seem simple in some videos, but trust me it pays off in the end!

The last part of this specialisation requires you to be on your toes!

교육 기관: Diogo P

•2019년 7월 22일

This is an awesome course! You probably were like me, with a foundation in maths shaky due to poor understanding of the underlying principles. This course re-centers math around intuition, making it much easier to understand and apply the concepts with confidence.

교육 기관: Andi S R

•2019년 12월 23일

I really like the approach of this course: build the intuition of the core concepts with an easy language and loads of examples. This has helped me a lot to understand finally the eigenvector and eigenvalues, for example. I strongly recommend to take this course.

교육 기관: Maksim S

•2021년 11월 21일

Fantastic course. Sam presents the main idea in the summary: course gives understanding how mathematical skills can be applied to the real problems providing nice examples instead of blind drilling with number only. Thank you, I believe in magic of math again :)

교육 기관: Prateek S

•2020년 6월 25일

This was one of the best courses I have ever had. The courses structure was awesome and the instructors were very clear with what they were teaching. The assignments were good. Anyone with a fair understanding of high school algebra should be able to understand.

교육 기관: AKSHAY K

•2021년 5월 17일

Although we have learnt these topics way back in our high schools but here I get the real graphical and applicational understanding of the linear algebra. Now I can visualise thing that how it gonna work so it will definately open new doors to research for me.

교육 기관: Muhammad Y A

•2020년 9월 5일

It's been really fun, It broadens my view about linear algebra and its relation with machine learning. It also helped me a lot to understand the topic which was in my college course. My favorite part was the Gaussian elimination and the Gram-Schmidt Process.

교육 기관: SINGH S

•2020년 5월 24일

I would like to say that this was one of the best courses that I've learned online during these difficult times of COVID-19 Pandemic. the teachers professor David Dye and Professor Samuel J Cooper were very friendly in teaching , all my concepts got cleared.

교육 기관: Sol S

•2021년 4월 17일

A really great course for building foundational intuition around linear algebra. Great for data folks who are used to applying libraries (e.g. scikit-learn, numpy, scipy), but want to gain a deeper understanding of what the methods are doing under the hood.

교육 기관: Juan M E

•2020년 9월 6일

Superb course! One of the best I have taken. I already knew linear algebra, but you always find rich tips and different ways of understanding the main topics. Congratulations to both professors. It is quite visible the passion they have and try to share it.

교육 기관: Anna U

•2020년 1월 14일

An excellently simple explanation of concepts of linear algebra. Applause for lector. I really liked this course and found it very useful for those newbies in machine learning like myself. I recommend this course to all my friends and others interested in.

교육 기관: PRANAD W

•2020년 7월 1일

This course has an amazing way of teaching. So u understand the concepts of mathematics that was seeming harder to me before i applied for this course. If you are beginner at Machine learning and worried about mathematics you must go through this course.

교육 기관: Rishabh T

•2020년 8월 6일

This is one of the best courses I have seen in coursera. The material was good and instructors were excellent. The subject and topics were explained in a very simple and interesting manner making it very easy to understand and also fun at the same time.

교육 기관: Rahul R

•2020년 6월 13일

I highly recommend this course to anyone who wants to build a general understanding of linear algebra and its real-world application. Both the instructors are highly capable of communicating the intuition behind every steps and algorithm to the viewers.

교육 기관: Kamile D

•2021년 6월 30일

I really enjoyed this course. Although the video material was quite dificult to comprehend at times, it was sensibly put together in short video batches and also with many tests in between that really heped to digest and fully understand the material.

교육 기관: DASGAONKAR Y N

•2020년 7월 12일

This was one of the best courses for linear algebra for a working professionals, students and researchers who want to brush up their skills as this course is very different from the regular book stuff.It was more practical with real world assignments.

교육 기관: Loc N

•2020년 1월 9일

Awesome course! Entertaining and digestible, with great assignments despite some hiccups in file organization and a slight lack of response from admins (understandable because the course is old). It was so awesome that I had to go and tweet the profs.

교육 기관: Lorenzo

•2019년 9월 27일

it's a very well structured and well taught course. The lecturers have the ability to keep the students interested in the subject and the various exercises at the end of each session are a very good way to find out where extra work/research is needed.

교육 기관: Volodymyr C

•2019년 1월 27일

Clearly explained and key equations are derived with good step sizes. Quizzes and assignments are challenging (which is good!) and have high expectations for learners (which is really good for my motivation). Overall, I am really enjoying this course.

교육 기관: Ion S

•2021년 6월 3일

This course was perfect except for the last assignment. It took on average over double the time to complete (including for me), and I died multiple times :). Other than that the course helped me a lot with my understanding about matrices and vectors!

교육 기관: Agamjyot C

•2020년 6월 3일

A really nice course, I had already done a Linear Algebra module in the university. But that was mostly mugging up and not knowing what this is used for. This course's geometric interpretation of all topics, helped me a lot and give a lot of insight.

교육 기관: Nut P

•2020년 3월 25일

The presentation an way of teaching is excellence; however, the course should add more reference or additional source or materials for more in dept detail for the person who feel that the simplified explanation in the course are still not sufficient.

교육 기관: Steven J R

•2021년 2월 25일

So exhausted, but amazed how the computer managed to process this kind of things for us everyday!

The lecturer were so nice and the explanation was so clear and funny too, although there are several assignments (which on my opinion) is sooo hard :((

교육 기관: Jonathan M

•2020년 4월 10일

Extremely helpful. I haven't taken a linear algebra class in almost 5 years and by going through these videos it helped me regain an intuition towards the subject. The videos do a good job of tying the material back to machine learning as a whole.

교육 기관: Cyprien P

•2020년 7월 3일

Great maths refresher content, with very useful 2D geometrics examples helping to build the intuition rather than just explaining the maths. I feel like I can understand this part of linear algebra now, and I know what to search for when I won't.

- Google 데이터 분석가
- Google 프로젝트 관리
- Google UX 디자인
- Google IT 지원
- IBM 데이터 과학
- IBM 데이터 분석가
- Excel & R을 사용한 IBM 데이터 분석
- IBM 사이버 보안 분석가
- IBM 데이터 엔지니어링
- IBM 풀스택 클라우드 개발자
- Facebook 소셜 미디어 마케팅
- Facebook 마케팅 분석
- Salesforce 영업 개발 담당자
- Salesforce 영업 운영
- Intuit 부기
- Google 클라우드 자격증: 클라우드 아키텍트 취득 준비
- Google 클라우드 자격증: 클라우드 데이터 엔지니어 취득 준비
- 경력 시작
- 수료증 취득 준비
- 경력 쌓기