AV
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Amazing content, perfectly curated topics with hands-on labs, although Assignments and labs could be more challenging based on certain level students who already have programming backgrounds.
VB
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Great job to Andrew and crew! It would have nice to have a primer on Python and Numpy vector operations for this course. Oh well, I needed to learn Python sooner or later!
By DB T
•Sep 25, 2023
Good
By RUSSO F
•Aug 23, 2023
good
By ليان ع ع ا
•Jun 24, 2023
Good
By Wickly G
•Apr 11, 2023
good
By Angger M R
•Apr 8, 2023
good
By Ande R
•Feb 17, 2023
good
By Minakshi
•Nov 18, 2022
bhjn
By Tharun V
•Oct 31, 2022
good
By Jaber
•Sep 11, 2022
<3
By Ritesh K S
•Nov 21, 2023
NA
By ADITYA C (
•May 8, 2023
NA
By Hernán G
•Aug 31, 2023
.
By Mahek D K V (
•Jul 27, 2023
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By 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.
By 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.
By 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!
By Arnaud M
•Oct 31, 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.
By Rithvik M
•Apr 26, 2024
I think that this course goes very in-depth into how machine learning works. On top of that, he talks about the code and real world applications so transitioning this over to work or school is very easy. The practice labs have simulations and graphs to show exactly what your code is doing. Overall, just a very informative and relevant course.
By Muhammad T (
•Jul 17, 2024
A few things were left out, which albiet would have made the course slightly more complex, could have been added as optional / honors content for those wanting to atleast understand fully what was going on. Especially in week 3.
By Hou H I
•Feb 29, 2024
Very well on introduction the basic concept of the topics, but some of the function are not visible enough for us to understand (such as the update boolean in the assessment of reinforcement learning)
By Aquib V
•Mar 1, 2024
Amazing content, perfectly curated topics with hands-on labs, although Assignments and labs could be more challenging based on certain level students who already have programming backgrounds.
By Hunain A
•Sep 26, 2022
The content was details, explained thoroughly and understandable. But, when it came to implementation, few more labs similar to the structure of previous course could have improved it more.
By johann s
•Apr 15, 2023
The part on RL is obviously more difficult but gives a good understanding of the foundations and principles.
Overall an other great course taught by Andrew NG!
By Nguyễn Đ D
•Mar 29, 2024
Lack of hands-on experience in coding (i.e. the implementation of the algorithm). Need more detail explanation and careful guidance throughout the notebook.
By José L F G
•Jan 7, 2023
Very instructive and interesting. There were some videos were the slides were very cluttered with calculations (e.g., the derivative optional video).