学生对 DeepLearning.AI 提供的 Advanced Learning Algorithms 的评价和反馈
课程概述
热门审阅
DG
Apr 14, 2023
Extremely educational with great examples. Helpful to know Python beforehand or the syntax will become a time sync, and understanding the mathematics as going through the class makes it a decent pace.
MA
Jun 21, 2025
The course is well crafted and enriched with deep learning and ensemble tree knowledge. Practice labs add strength to the development of skills. Overall good learning experience under sir Andrew NG.
326 - Advanced Learning Algorithms 的 350 个评论(共 1,243 个)
创建者 Katam V K
•Jan 1, 2025
There should be some explanation for the labs in the decision trees topic(week 4) apart from that everything is great.
创建者 israel m p
•Feb 23, 2023
Es un excelente curso para adentrarse a algoritmos avanzados de Machine Learning. Andrew Ng y su equipo son excelentes.
创建者 Baris B
•Jul 13, 2022
Great resource for learning basic concepts of neural networks and decision trees. Thanks a lot for making it available.
创建者 Mohammad Y
•Feb 7, 2025
best machine learning instructor ever, I will always be grateful to Mr. Andrew for his huge impact on my academic life
创建者 Shreshtha Y
•Jul 8, 2024
Easy to understand and learn from. Only improvement would be to explain xgboost and random forest algorithm a bit more
创建者 Alexander M
•Jul 3, 2024
I enjoyed this even more than the previous course in the series and I look forward to unsupervised learning algorithms
创建者 Md. M R
•Apr 22, 2024
Instructor like Andrew Ng. sir, blessing now a days.!! Wish to learn from him face to face!! Best course design ever!!
创建者 Francisco S A
•Jul 25, 2023
Good compilation of some of the most common advanced learning algorithms. Missing some like SVM but great in any case.
创建者 Kartik A
•Aug 7, 2024
Developed a better understanding of machine learning libraries and algorithms along with the mathematics behind them.
创建者 Fangyuan L
•Nov 16, 2023
nice instructor and very useful learning materials, the course is also designed to be very begininger level friendly!
创建者 Mamy R
•Jul 24, 2023
Very strong learning methodology, from easy understanding to abstract content with enriching practices!
Thanks a lot!
创建者 Shawn B
•Aug 15, 2022
Very useful material. I recommend it to everyone interested in learning about practical machine learning algorithms.
创建者 Rizoan H R
•Feb 8, 2025
All the best wishes to respected prof. Andrew Ng sir and fellow instructors for creating this masterclass course !
创建者 Damilare L A
•Jan 6, 2025
All I needed to learn was met in this course. I am glad I took the course. Thanks DeepLearning.AI, thanks Coursera.
创建者 Simpal K M
•May 24, 2023
It was a great course. I am thankful to Andrew Ng and full team who made these difficult concepts a piece of cake.
创建者 siddharth m
•Jan 27, 2025
Lucid explanations by the Mr. Andrew with the added benefit of self paced learning make the course very enjoyable.
创建者 Nicholas S
•Jan 23, 2024
The course is informative and easy to follow, building on the material covered in the supervision learning course.
创建者 Mironov V
•Nov 25, 2023
I would like more examples and practical tasks on convolutional neural networks, but otherwise the course is good.
创建者 Juan S G V
•Oct 11, 2023
Un curso especializado muy completo. El profesor es muy dinámico y tiene una excelente manera de hacerse entender.
创建者 Yu K
•Oct 6, 2023
super useful course for those who wants to gain some bascis knowledges about the neural network and decision trees
创建者 Pedro J S L
•Aug 20, 2024
Excellent course for learning the basics of Machine Learning. Very well explained and with comprehensive examples
创建者 Duc G
•Apr 29, 2023
Can't explain how important this course to me :D. Keep updating the good work. Many will need it in the future :D
创建者 Gaurav M
•Dec 31, 2023
really organized course, great teaching style, But in decision tree I struggled getting intuition about entropy.
创建者 Mobin V
•Sep 9, 2023
Simple language, Great labs, Good path.
This course is actually a Great Way to Learn Machine Learning Algorithms.
创建者 Umar R
•Oct 19, 2024
This is very good, introduce me about neural network, the lecturer knows how to teach and provide the subjects.