学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈
课程概述
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Nov 23, 2022
Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.
ED
Apr 13, 2025
Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!
5551 - Supervised Machine Learning: Regression and Classification 的 5575 个评论(共 5,919 个)
创建者 Elead B
•Oct 28, 2024
Great course. I would recommend for someone that has a fair mathematical knowledge. I struggled a bit with the formula
创建者 Niloofar N
•May 27, 2025
It would be better if at the end of the course, it gives a more complex project on topics for practice and review.
创建者 KESHAV
•Jun 12, 2023
I would like it more if problems like K-means clustering and SVMs were also discussed in the lectures and/or labs.
创建者 Mairi M
•May 3, 2024
Excellent teaching and high quality learning materials. The jump between theory and practical was a little steep
创建者 Yousef R
•Jul 30, 2022
ts a very helpful course to get into AI, i would sa it could use a bit more coding in the videos to demonistrate
创建者 Moutassi B G
•Sep 1, 2024
The basics are perfectly and so simply explained and all is done such you must understand what you are studying
创建者 Shiva T
•Feb 20, 2023
Some more practical examples can be included but the course material and topics and ecplaination were great.
创建者 Amit S
•Dec 18, 2022
Every concept was explained in a very easy and interesting way. Really liked the course and way of teaching.
创建者 Anukul D
•Nov 10, 2022
I actually got the right course at right time and thank you to coursera for providing the course. Hats Off!!
创建者 Raman K P
•Dec 18, 2022
Real life dataset use would have been more helpful.
Also, use of scikit-learn could have been explored more.
创建者 Kunal G
•Aug 16, 2022
Good One, the course is to the point . Please include linear algebra as it was added in the older version .
创建者 Royston L
•Jun 20, 2022
I don't understand why the practice lab code for gradient descent and the lab assignment code is different.
创建者 Fang H
•Jan 23, 2024
Explained the complex concepts in very clear and simple way. Labs are very helpful and very well designed.
创建者 Samuel S
•Jul 16, 2022
It get's exponetially harder as the weeks go by. This course could really use more programming excercises!
创建者 Kartik T
•Jul 25, 2025
It would be better if we could get the downloaded notes of what the Mr. Andrew Ng is showing in the ppt.
创建者 Alzahra A A
•Jul 21, 2023
A great course, very informative and easy to understand.
Wish there were more project based assignments.
创建者 parsa r
•Jul 23, 2024
great course. Dr Andrew ng explain very simple and perfect. but i wish it had more mathematical terms.
创建者 Ryan H
•Jun 28, 2023
Weeks 1 and 2 were great. Week 3 got a little complicated and seemed a bit esoteric... But very happy.
创建者 Sai D N
•Jul 12, 2022
It an introduction to ML. Course flow is fantastic and assignments are important to learn the content.
创建者 Paul
•Feb 9, 2025
Awesome course. I wish the course were explained better though. Andrew Ng's teaching is just spot on!
创建者 Nikhil J
•Sep 5, 2022
It is a nice course , from this i learned what is regression and classifications in machine learning
创建者 Santhosh R K R
•Sep 18, 2024
Excellent teaching i thoroughly enjoyed learning and getting started with the machine learning field
创建者 Nikita
•Jun 13, 2023
I wish there were more practice tasks. But this course gives you good understanding of the concepts.
创建者 Ans S
•Mar 29, 2024
Best for learning deep concepts and mathematics inside but not sufficient for the job ready skills.
创建者 Manasvini G
•Nov 1, 2024
Loved the way instructor Andrew Ng delivered the concept. Practical knowledge can be poured more.