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
AA
Dec 29, 2024
The course provides an excellent introduction to widely used machine learning concepts, including Neural Networks. While the material can be challenging, it is presented in a digestible manner.
MN
Jul 29, 2023
Another fantastic course by Andrew Ng! He covers neural networks, decision trees, random forest, and XGBoost models really well. I like that he shares his intuition behind every concept he explains.
326 - Advanced Learning Algorithms 的 350 个评论(共 1,270 个)
创建者 Srinath J
•Dec 28, 2024
thank you Andrew for al the great work that you do and the way you give back is your wonderful great karma and great deeds
创建者 Hamza Z
•Jul 21, 2024
A beginner friendly course part of machine learning specialization to gain insights to key algorithms in machine learning.
创建者 Ricardo F d B
•Jun 5, 2023
Excellent course. Prof. Ng is very clear in his expositions, with great material to support the course. Highly recommended
创建者 Jose C
•Sep 27, 2022
Amazing course! Extremly usefull not only for beginners but for those who already know to code but want to learn about IA
创建者 Sam O T
•Mar 25, 2024
The right mix of technical and non-technical information. The introduction of not-so-easy theoretical concepts is gentle.
创建者 Vahid H
•Aug 5, 2022
This course is awesome. Why? Because it is very simple but at the same time is complete and to the point. Thanks Andrew.
创建者 Abubakar A
•Aug 8, 2024
i just love the content and the occasional jokes thrown into the lectures. Learned alot and enjoyes every moment of it.
创建者 Amith V
•Jan 30, 2024
Loved the teaching by instructor never made me feel like i dont know anything thank you sir and the team for this course
创建者 Atharv P
•Oct 29, 2023
This course has helped me to get a deep understanding of neural networks as well as various machine learning algorithms.
创建者 Shiva K
•Jan 5, 2023
Seriously good but need more math content. Prof Andrew Ng, please include more math derivations and advanced math stuff.
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.