学生对 DeepLearning.AI 提供的 Unsupervised Learning, Recommenders, Reinforcement Learning 的评价和反馈
课程概述
热门审阅
AS
Jun 1, 2025
this was a very good course for build a very strong foundation of machine learnignn and many advance this were also taught, with a whole lot of guidence on every step. really appricated thsi course .
SB
Nov 6, 2022
This course is a brief but thorough introduction. It has a good mixture of theory and practice.Andrew Ng explains every thing very good, understandable and in a fun way.I highly recommend this class!
751 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 775 个评论(共 839 个)
创建者 Naiyan N
•Mar 5, 2024
good
创建者 Ishaan
•Jan 1, 2024
best
创建者 HAYAA T T A
•Dec 1, 2023
روعة
创建者 Dini P U
•Oct 19, 2023
good
创建者 DB T
•Sep 24, 2023
Good
创建者 RUSSO F
•Aug 23, 2023
good
创建者 ليان ع ع ا
•Jun 24, 2023
Good
创建者 Wickly G
•Apr 11, 2023
good
创建者 Angger M R
•Apr 8, 2023
good
创建者 Ande R
•Feb 17, 2023
good
创建者 Minakshi
•Nov 18, 2022
bhjn
创建者 Tharun V
•Oct 31, 2022
good
创建者 Jaber
•Sep 11, 2022
<3
创建者 达奇达奇上校
•Oct 24, 2025
很好
创建者 Ritesh K S
•Nov 21, 2023
NA
创建者 ADITYA C (
•May 8, 2023
NA
创建者 Amitava M
•Oct 24, 2025
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创建者 RAJ A
•Jun 15, 2025
h
创建者 Hernán G
•Aug 30, 2023
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创建者 Mahek D K V (
•Jul 27, 2023
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创建者 Tony H
•Aug 15, 2024
Greate ML Specialization program. I really enjoy the teach style of Andrew Ng. I can tell he has lots of heart and really want to share everything he know. The first two course had good pace. The last course feel abit compact with lots of information being packed in. While it was missing the smaller steps optional labs to help student practice the concept on simpler problems. Instead, the course 3 only have the final labs, which is surprisingly quite difficult when being thrown into it with so many new things at once. Overall, great program! I really enjoy learning ML from Andew Ng as the foundation for DL and AI for my career change into the AI Specialization role/field. Thank you Andrew.
创建者 Rawabi S Q A
•Apr 14, 2024
The "Supervised Machine Learning: Regression and Classification, Advanced Learning Algorithms, Unsupervised Learning, Recommenders, Reinforcement Learning" course offers a comprehensive and valuable learning experience. It covers a wide range of machine learning topics, including supervised learning, advanced algorithms, unsupervised learning, recommenders, and reinforcement learning. The course provides a solid foundation in theory and practical applications, making it suitable for both beginners and experienced practitioners.
创建者 Alejandro Í
•Apr 19, 2024
Excelent course! I highly advice people who wants to get in touch with this topic to give it a try, it has all the tools to go through it even if you know few of programming, however, I would have liked more some challenges in between with real applications, or even additional labs with this real application to try it for ourselves, just my opinion, but in the overall was fun to learn all of this!
创建者 Arnaud M
•Oct 30, 2022
I would like to know more on the theory when the actions you can do depend on the state you are in. For instance, in the game of the chess, all moves are not possible all the time depending on whether a piece is on a certain square or if it is pinned... This is the case in many games including the game of Go or even soccer only the player who has the ball is able to pass it to other people.
创建者 Frank K
•Jan 1, 2025
Andrew Ng has a very calm and competent way of teaching contents. The course provides a good overview over its topics and is not particularly hard to master. Actually for me as trained computer scientist with many years in the field, I would have preferred even a little more mathematical details, but this is more personal preference than a criticism towards the course.