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

4.7
별점
5,172개의 평가

## 강좌 소개

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....

## 최상위 리뷰

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:

## Mathematics for Machine Learning: Multivariate Calculus의 928개 리뷰 중 176~200

교육 기관: Timo K

2018년 4월 3일

Just a great course for getting you ready to understand machine learning algorithms. The chapter on backpropagation is simply outstanding and the programming assignments are awesome!

교육 기관: Laszlo C

2019년 11월 21일

It's a very intuitive re-introduction to multivariate calculus with edifying programming assignments and quizzes. I highly recommend this course for anyone who wants to tap into ML.

교육 기관: Mark C

2018년 7월 30일

As good as the first class in the Math for ML series. Instruction was interesting. Questions were not too confusing. Clearly a lot of time was spent producing this class. Thank you.

교육 기관: Mohit

2020년 10월 31일

After completing i relate maths with real world ,How hard the topic is but all the teacher complete it nicely in a simpler manner ,I am so happy today i complete one more course

교육 기관: Arihant J

2018년 7월 19일

Nice course. Ppl with who don't have some experience with the content may find the instruction too sparse. But for someone with a decent background its a fucking fantastic course !

교육 기관: Wang Z

2018년 7월 2일

A wonderful course. I learnt a lot after struggling to finish it. Some foundations of calculus might be needed since the lecturer goes through differntiation in a tremendous speed.

교육 기관: Shailesh B

2020년 5월 11일

Excellent contain and I enjoyed a lot during this course. Assignment part was very crucial because there was chance to improve our understanding by giving correct or wrong answer.

교육 기관: David C

2018년 7월 25일

I highly recommend this course.

Every Machine Learning student have to do it. Some concepts is so clearly explained that you will be able to perform better in following ML studies.

교육 기관: Julia G

2020년 11월 12일

I enjoyed a lot the visualizations and practical examples. They do help to improve mathematical intuition! Thanks a lot to the instructors, the lectures were clear and exciting!

교육 기관: David M

2020년 7월 14일

Both instructors explained things very clearly and I felt well-prepared for the quizzes. The subject matter was challenging for me, but isn't that what this whole site is about?

2020년 6월 9일

excellent teaching very good course for learners thank you so much for giving this pack of three courses . Tahnkyou coursera team, three instructors and Imperial college London

교육 기관: Dawn D

2019년 3월 10일

Really good introduction for things like regression and gradient descent. An extremely good refresher for calculus and extension from what is taught in school (in UK at least).

교육 기관: Marco A P

2020년 8월 27일

Very challenging course, but if you,re not afraid of numbers this is a great way to remember or "start to learn" advance and esential mathematic concepts for machine learning

교육 기관: Ramon M T

2019년 9월 18일

Excellent course to understand what is behind the techniques and why not high-level functions that are used in machine learning programming. Thanks for your teaching Dave, Sam

교육 기관: Marina P

2019년 8월 28일

Very practical and useful! I got an idea about what neural network is and what is inside of the regression algorithm. I enjoyed the course, although it was quite challenging.

교육 기관: Lalit D

2021년 9월 1일

Really insightful course, the coding exercises are supposed to be intermediate level but are more beginner friendly. So that's a plus point if you are a beginner in Python.

교육 기관: Rishabh A

2019년 6월 9일

Loved the course. Backpropogation section needs more elaborate explanation, where are we doing dot products, where are we doing matrix multiplications, things go confusing.

교육 기관: THIRUPATHI T

2020년 5월 21일

Excellent course for learners who likes self-learning. They will enjoy a deep understanding of the multivariate notions like the Hessian, Taylor series, and Regression.

교육 기관: Marwa A E K

2019년 11월 12일

This course is really informative and builds intuition for the topics covered, I'd like to specially thank Sam for his amazing way of teaching and his visualizations :)

교육 기관: Вернер А И

2018년 3월 17일

Excellent course. The material is taught in a precise, clear and intuitive manner. It would be great if a summary of the course will be given in form of some document.

교육 기관: ASIFIWE E

2021년 3월 3일

Strongly agree that, this is best course ever at the beginning of Machine Learning journey. Thank you Dr. Sam and other lecturers. thank you so much Imperial College

교육 기관: VARUN S

2020년 11월 8일

It was way difficult compared to what I thought. Though I did not understand 100%, it gave me confidence to dig deeper if required. Thanks for this wonderful course.

교육 기관: Shammunul I

2020년 4월 12일

One of the best courses on mathematics for machine learning. I already knew Calculus but this course reinforced and clarified many of these already learned concepts.

교육 기관: Chi W

2018년 5월 17일

Excellent course! It helps understand to take the sandpit as an example for learning Jacobian, Hessian and steepest algorithm stuff. More than boring math formulas.

교육 기관: aya t

2020년 8월 6일

I really like this series so far and felt in love with instructors and the way they teach ,and i am so excited to the third and last course of this specialization.