FA
May 24, 2023
The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.
JM
Sep 21, 2022
Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses
By mohammad k
•Sep 11, 2023
This first part of the course is probably suits a freshman student in engineering who has limited knowledge of numerical methods or computer programming. While I hold great regard for Mr. Ng, I find the pace of the course to be somewhat sluggish, and the depth of the material covered to be modest.
By Praveena C
•Jul 19, 2023
Overall, the course was remarkably insightful and presented in a way that made it easy to follow. In the future, I think it would be beneficial for the lessons to delve deeper into the programming aspects of machine learning, as this area demanded a lot more independent research and self-learning.
By Edouard T
•Oct 22, 2024
The course is great and offers a wealth of details, both theoretical and practical. However, as a first course in machine learning, the coding in some labs could be simplified. The labs could have been designed using simpler code, particularly by utilizing NumPy instead of looping over vectors.
By Nyan
•Oct 30, 2022
This is a really really great course which provides the fundamentals of Supervised Machine Learning and also math concepts used in Regression and Classification. Ones who don't have basic math knowledge and basic python programming knowledge will face some difficulites in this course I guess.
By Vishal R
•Jun 30, 2023
It was really insightful, learned about all the theoretical as well as some practical knowledge, Andrew sir's way of teaching is definitely the best way to teach something this challenging, really loved the course, Will surely recommend to someone who's starting out on Machine learning.
By Reza N
•Jun 21, 2023
This course was very helpful for me to understand the mathematics and intuition behind those machine learning algorithms. However, I believe the assignments could be slightly more challenging and demanding, and it would be great to have a small project as a culmination of the course.
By Brian R
•Jul 7, 2022
Amazing coverage of Linear and Logistic regression! There is a significant attempt to lower the math bar for this course, which is appreciated and admirable; but then the labs require implementing equations in code, which requires some focus be paid to that portion of the learning.
By Carlos L
•Nov 5, 2022
Lectures and assignments are well very curated, but assignments are far too easy and encourage explicit imperative programming (for loops and mutated state) rather than vectorisation, which goes against the taught material. Very odd - that's the reason for the 4 stars only.
By John e C
•Aug 19, 2024
Great course. If you would improve something I had a little hard time completing the test's because the code implementations were different to the ones seen in labs. the name of the varbiales changed and some thing's changed so I think this could be difficult for beginners
By Hariom S
•Jan 1, 2023
It was my first specialization which I completed from Coursera and it was worth my time. The knowledge shared by Andrew Ng is just incredible and I enjoyed the course a lot. Thank you Coursera for making such courses available for us and financial aid was also very useful.
By Anshuman S
•Jul 9, 2024
One of the best Courses on the internet on ML, I am thankful to this course for existing. But if I had a single dislike was that, there was not much hands-on practical practice. Its more theoretical. I would have loved for Mr. Andrew NG to teach us code side by side too.
By Isabelle S
•May 18, 2023
Great course for mathematical fundamentals of Machine Learning. However, I would like the optional labs (that introduce and describe the necessary Python code) to be better explained and walked through. It is hard for me to understand how the passage from concept to code
By Pranjul M
•Aug 4, 2024
course is extremely awesome but there is just one problem that if this course can be audited for free, then there must be some option to mark it as completed without issuing any certification, so that it won't be a part of My Learning section as it irritates me somehow.
By Drew D
•Dec 25, 2022
wonderful course, and this updated version is much better than the 2018 version which I took. The key thing I found is that I needed to know more Python to pass each weeks ending lab before you could go onto the next week lectures, so more Python knowledge is helpful.
By Diego M
•Nov 24, 2023
Simply magnificent. The course does an excellent job in teaching the fundamentals of regression and classification. However, it would be amazing if the course went into more depth into some of the underlying principles used, such as MLE in logistic linear regression.
By peternunez_
•Jun 25, 2023
Very good, intuitive teaching.
I would have prefered if more teaching/videos were dedicated to the Python implementations and more rigorous explanations of the concepts. However, I'm satisfied with what I've learned as I feel as if I'm now able to apply the skills.
By CHE 8 C A V K D
•Nov 28, 2022
I feel the course is great but the lectures only focused on theoretical aspect,I believe adding few coding solving or error rectification lessons might increase the quality of course as just looking at optional labs and so the coding assignments felt too difficult
By Steve M
•Jul 25, 2022
Andrew Ng is a great teacher. I took his original Octave-based Machine Learning class when it came out years ago. I've been waiting for the update in Python. I have to say, this class is not as hard or math-intensive as the original, but so far, it's been great.
By Bestman e E
•Jan 22, 2023
A very interactive course that makes learning interesting. The Instructor has a warm disposition that puts the student at ease while keeping focused on the subject. The course would be enriched with the inclusion of interactive sessions or active student fora.
By Gravin P
•Nov 22, 2022
I really had a good experience learning new concepts of Machine Learning in this course, this course was containing all the necessary things such as thoretical knowledge, quiz's and practical knowledge in the form of optional labs and programming assignment.
By Aditya S
•Jul 16, 2023
Simply Marvelous, The theory presentation is very engaging although I feel that Lab assignments are not properly explained and sometimes it is not clear that what the statement demands. Discussions of Assignments can also be added so it is clear afterwards.
By Argha
•Oct 2, 2023
If they somehow managed to put thorough Practical hands-on hand-coding videos, it would be 5/5, but now it's a 4/5 just because I don't feel confident after completing the course. But since I got it from financial I don't have anything to complain about.
By Mahdi M
•Aug 10, 2023
that was really great Understandable explanation , Use different tools for Showing diagram but one thing is really important to me was more project near industry of AI for getting more experience and this couldn't support that, but that's Ok thanks a lot
By Suman R
•Aug 17, 2023
It is a great course to get you started on machine learning in minimum amount of time! At the end of only the first course of the series, I have developed a deep admiration for the potential that machine learning holds in my field of civil engineering!
By Elliot
•Sep 25, 2024
My rating is not an indication of the content quality - Dr. Ngs work speaks for itself. However, Coursera's closed caption quality is so poor it is a borderline insult to those who rely on them to understand his content. Horrible captions all around.