Вернуться к Mathematics for Machine Learning: Multivariate Calculus

# Отзывы учащихся о курсе Mathematics for Machine Learning: Multivariate Calculus от партнера Имперский колледж Лондона

4.7
звезд
Оценки: 4,728
Рецензии: 839

## О курсе

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....

## Лучшие рецензии

JT
12 нояб. 2018 г.

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
25 нояб. 2018 г.

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.

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## 151–175 из 837 отзывов о курсе Mathematics for Machine Learning: Multivariate Calculus

автор: 김은산

8 мар. 2020 г.

Though it was tough course, after you finish it, you might have a little confidence in your understanding linear regression. For a beginner like me, that will be my start point for my career.

автор: Patrick G

26 мар. 2020 г.

Very clear lessons by two excellent coachs who present a smooth progression of the fundamentals of optimizations for machine learning. Plus very nice visualizations of the gradient descent.

автор: pymo2504@gmail.com

27 мая 2019 г.

El curso explica de forma sencilla, los conceptos de calculo necesarios para la comprensión del aprendizaje de máquina. Realmente muy útil. Además, incluye ejercicios prácticos en python

автор: Xavier d L C

23 янв. 2021 г.

This course is exactly what I had in mind: (i) a review of the main multivariate results required for starting in machine learning; (ii) very good teachers; (iii) reasonable assignments

автор: Irene L

25 нояб. 2019 г.

very good course about the math for machine learning, they teach every detail and I was able to complete the quiz and assignment just after class and don't have to seek help on Google.

автор: Marvin P

6 апр. 2018 г.

Just like the linear algebra one this course is absolutely awesome. The instructors provide structured insights, the assignments are well prepared. I'm amazed how much fun math can be!

автор: Timo K

3 апр. 2018 г.

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!

автор: Laszlo C

21 нояб. 2019 г.

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.

автор: Mark C

30 июля 2018 г.

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.

автор: Mohit J

31 окт. 2020 г.

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

автор: Arihant J

19 июля 2018 г.

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 !

автор: Wang Z

2 июля 2018 г.

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.

автор: Shailesh B

11 мая 2020 г.

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.

автор: David C

25 июля 2018 г.

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.

автор: Julia G

12 нояб. 2020 г.

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!

автор: David M

14 июля 2020 г.

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?

9 июня 2020 г.

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

автор: Dawn D

10 мар. 2019 г.

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).

автор: Marco A P

27 авг. 2020 г.

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

автор: Ramon M T

18 сент. 2019 г.

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

автор: Marina P

28 авг. 2019 г.

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.

автор: Rishabh A

9 июня 2019 г.

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

автор: THIRUPATHI T

21 мая 2020 г.

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.

автор: Marwa A E K

12 нояб. 2019 г.

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 :)

автор: Вернер А И

17 мар. 2018 г.

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.