Mathematics for Machine Learning: Multivariate Calculus(으)로 돌아가기

별점

4,957개의 평가

•

887개의 리뷰

This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future....

JT

2018년 11월 12일

Excellent course. I completed this course with no prior knowledge of multivariate calculus and was successful nonetheless. It was challenging and extremely interesting, informative, and well designed.

DP

2018년 11월 25일

Great course to develop some understanding and intuition about the basic concepts used in optimization. Last 2 weeks were a bit on a lower level of quality then the rest in my opinion but still great.

필터링 기준:

교육 기관: Alina I H

•2020년 12월 9일

Amazing instructors and well designed course. Definitely a recommendable course to get intuitive knowledge on mathematical concepts that are relevant for machine learning. What I especially loved about it: it neither went too much into annoying and exhausting detail, nor was it simple. If you take this course, take some time to concentrate and get the brain cells running - will be a satisfying and rewarding experience! 11/10!

교육 기관: Thuy T N

•2020년 8월 7일

This is my first encounter with Multivariate Calculus and surely the course has been extremely helpful beginner-friendly. I recommend investing in practical mathematics courses as this specialization if you are new to machine learning field. You will be equipped with enough math background and should feel confident to enter more technical machine learning/deep learning courses.

A truly fundamental stepping stone!

교육 기관: Kerem E Y

•2020년 12월 31일

I learned limit, derivatives and integrals in high school. Afterwards, I took a few calculus lessons at university. However; I have never got a chance to see this theoretical background to put into practice. For this reason, I have never learned the essence of which means is calculus. I wouldn't have gotten a detailed education on this topic anywhere in Turkey. It was crucial for me, thank you for all !

교육 기관: Reeshad M

•2021년 7월 6일

The videos are well designed and are direct in teaching the course material. For those with Calculus experience, it acts as a nice refresher and further expands it through higher dimensions. For those planning to learn more about Machine Learning and data science, the course also bridges mathematical gaps. Overall, I learned a lot and had fun while taking the course.

교육 기관: Onkar A

•2020년 5월 20일

Awesome course, so much to learn, and all concepts built up from basic, had fun with all assignments and stand-pit like interactive things, really boosted the understanding, i felt that prof. copper's speed of teaching was fast for me persoanlly , i had to pause many times and think what he said, but prof. david's pace was perfect for me, both instructors are great!

교육 기관: David A E G

•2020년 8월 21일

A beautifully designed course, in which I could strongly settle the principles behind Linear Regression and Neural Networks. It did a wonderful job, filling the gaps I had from some other material I had checked on the web, but that was too technical, from a beginner's point of view. I feel so motivated by this course, that I will finish the specialization!

교육 기관: Douglas W

•2020년 5월 4일

Such an impressive set of instructors! I loved the enthusiasm at which the material was taught and injections of British humor. Now, this is not an easy course, but one that requires work. Plan on reacquainting yourselves with pencil, paper and practice. So, do the work, repeat videos when required, rely on classmates in the forums and you'll do fine.

교육 기관: Ludovic G

•2020년 12월 7일

Simply brilliant ! Although the exercises might tend to be fairly simplistic, the quality if this course is top-notch. I truly believe it is one of the best material out there to get a grasp on fundamental concepts underpinning machine learning and data science.

I would definitely recommend the entire specialisation to anyone interest in this field.

교육 기관: Manas G

•2020년 7월 15일

This is legitimate the best course on coursera. The video production and animations are beyond words. Also the amount of efforts put into quizzes and assignments is clearly visible. They are soo much helpful in understanding and practicing of the concepts taught. I loved doing this course. I wish there were more courses like in this specialization.

교육 기관: Aileen F

•2020년 11월 27일

Highly recommend it for engineering students or even graduates, since some schools in my country do not teach some of these topics and programming in their engineering programs. The discussion accompanied by graphical and interactive tools really helped me understand some of concepts. The quizzes and assessment focus on the important points.

교육 기관: Camilo M

•2020년 7월 29일

The explanations are very clear and intuitive, the teachers explain very well and give guidelines so that you can do your own analysis and experimentation. The programming exercises are not complex but you must pay attention and take notes. So far both courses (linear algebra and multivariate calculation) are very, very good.

교육 기관: Natasha M

•2021년 4월 10일

Probably my favorite course series on Coursera! Even though I already took calculus and algebra years ago, I feel like I have gained a greater intuition through this and the previous algebra course. These are probably not introductory courses, but more to gain a deeper intuition of using calculus for machine learning.

교육 기관: Adithya P

•2020년 9월 26일

The instructors are amazing, they make things quite easy to understand and the assignments would give a proper measure of your understanding of the lectures. The content covered in the course gives you a perfect idea of visualizing 3d or multidimensional models(data). The forum has a healthy discussion on the subject.

교육 기관: Idris R

•2019년 10월 28일

Fun and challenging course! It's priceless to learn all the math behind neural networks and other machine learning algorithms without having to learn all of calculus and all of linear algebra. Those are large fields and having the material presented in a way that focuses on the most relevant pieces is hugely valuable.

교육 기관: Agamjyot C

•2020년 6월 16일

This is a must take course, if you want an insight into how the world of machine learning really works. This MOOC focused more on the intuition rather than just deriving out expressions for the heck of it. Everything has been explained in a very nice and simple manner, I have learned a great deal from this course.

교육 기관: Peter K

•2021년 12월 18일

I appreciate the work of the course team. Many thanks. It is a great job. But I would list explicitly all the additional materials that could help to understand each week objectives. I mean such links to Khan Academy or other sources that could be relevant. Some videos could be expanded started from chapter 4.

교육 기관: Kuntal T

•2020년 12월 13일

If you want to see the "Art of teaching", you must take or go through this course. Prof. Dye and Prof. Cooper explained the subject in a very nice way and I think every undergrad should take this course to clarify their understanding and for any person who whats to teach much watch it to learn how to teach.

교육 기관: Umesh S

•2020년 12월 11일

Excellent course !! .. nice balance of mathematics and intuition building. Pace is fast but its fun. Some assignments are challenging but very rewarding once you get it right. Will recommend to all data science enthusiasts to go through this course to build right base before digging deep in ML algorithms

교육 기관: Taranpreet s

•2020년 9월 17일

I was quite satisfied with the learnings from the course 1 of the specialization, this course amazed me about how the calculus and linear algebra are knitted together to solve optimization problems efficiently. Quizes are very helpful in reinforcement of the concepts. Instructors are great as well.

교육 기관: Xin Y

•2020년 4월 16일

Excellent course! All concepts are clearly explained. On a difficulty scale of 10 with 0 being easiest and 10 being hardest, quizzes are around 4 and programming assignments are around 1. The lectures are very well designed, with quizzes helping to reinforce key concepts you learned in the videos.

교육 기관: Sinister •

•2020년 4월 16일

I loved this course. Instead of going deep into mathematical terms, the professors try to create an intuition of those terms and the geometrical explanations further improve the understanding. So if you feel that you lack an understanding of the concepts then definitely go for this specialization

교육 기관: David Z

•2020년 11월 26일

Great layout of topics and amazing approaches of handling course materials. Provide a great feel of mathematics and its application. Wow, i can't say thank you enough. Having done the abstract Mathematics with computer Science, this has made meaning to the importance of the program i pursued.

교육 기관: RISHAV K

•2021년 1월 1일

The course is excellent and informative, but keep in mind that it is not for absolute beginners. If one has some experience or if one is willing to take reference from other sources available on the internet. Then, it would certainly improve one's understanding of the underlying mathematics.

교육 기관: anurag

•2020년 4월 8일

Great foundation course on maths involved in Machine learning . Also such a refreshing view on calculus that is taught in bachelor degrees of engineering. I was able to visualize each concept taught here thus making the learning much more fun and easy to remember, thanks to the professors.

교육 기관: Bui V H D

•2021년 12월 16일

Wowwwww!!! I didn't learn math for a long time, about 2-3 years, and this course help me to recall my knowledge and learn somethings new.

It help my skill in math stronger and have a foundations for machine learning.

Big thanks for this course, for teacher and the Imperial College London.

- 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