JM
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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
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Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.
By Javed A
•Jul 5, 2022
Andrew Ng is the best proctor for Machine Learning. The course has been perfectly balanced with thoritical as well as practical aspects. After this course I feel so confident. From ZERO to HERO
By RITUL M S
•Jun 25, 2022
absolutely amazing course, coding assignments are designed perfectly and the course helps in understanding the working and the math behind the algorithms which makes it so recommendable.
By Sreeraj N R
•Jun 26, 2022
a great course to understand theory of supervised machine learning. Need lectures for numpy and scikitlearn
By Reem I
•Feb 13, 2023
The course content is great but I didn't like that the instructor said that the labs are optional and you don't even have to know python and then I found out that there are graded labs!! this is really confusing as even when I tried to use hints and write the code I found out that it does not work.
By Rok Å
•Nov 6, 2022
The focus of the whole course is on gradient descent. I guess it is needed for some other algorithms but here we could have just found the derivative. If I had no background in math and statistics I would give up ML seeing this.
By Deleted A
•Dec 1, 2022
You need to know Python, calculus and linear algebra for this course. I have a background in the last two, but never having used Python before, I'm unable to complete the final exam.
By Hourasadat M
•Jan 6, 2023
The class was full of mathematic. There were python code in labs but no explanation about python by instructor.
By Yemi D
•Oct 3, 2022
Excellent course. Intended as a refresher, and had a better understanding of feauture engineering, scaling, and logistic regression. Good hands on labs were very practical, engaging and rewarding.
By Lewis C
•Jun 25, 2022
Really enjoyed the course, had a few questions by the end of it that were resolved quickly in the forums. I would implore others to use them too as they are a great resource.
By Andrea N
•Jun 18, 2022
Andrew Ng is a very good professor, he explains complex concepts in a very simple way and with the help of many visualization and graphing tools. Highly recommended course!
By Lydia A
•Jun 22, 2022
The course is very interesting. I have learnt a deep understanding on machine learning, now I know the difference between regression and classification.
By Alina D
•Jun 20, 2022
Good, I keept working on these codes and searching for clues in videos. Good structure, reinforcment of some knowledge.
By Pavan K A
•Mar 8, 2023
Andrew Ng is a God of ML. No one in this world can make this course more easier than him.
By Nadia D D
•Mar 4, 2024
Though the concept was thoroughly explained, I find that it lacked materials for learners who prefers to read the course after in order for me to understand it better. There were no slide handouts nor was their a step by step tutorial on the coding. The coding was spoon fed to learners so it was hard to figure out the assignments for the coding. Syntax for the coding was not also thoroughly explained nor a handout for the syntax. It is not a good course for coding but a good course for understanding what your are computing and how you go about the problems.
By Hamilton E
•Aug 11, 2022
Too much theory and very few practice.
By Flavia B
•Oct 18, 2022
I feel like this course tries it's hardest, that everyone can follow it. But because of that it doesn't really dare to go deeper than just give an overview of machine learning. The tests are way too easy to pass with 100% and you can't really write your own algorithms afterwards. Also most of the examples are with one variable, so it's easier to follow, but it would be much more helpful, if we could see more complicated and real live examples.
By Robert W
•Aug 4, 2023
This was really a math class not much at all about machine learning. There was some abstract example that most of the detail about were hidden making it really hard to understand what was being done other than learning formulas. I would not recommend it.
By siow L c
•Jun 15, 2023
Tried, but unsatisfied. Hence, I cancelled the subscription within a week as specified for a full refund. However, there is no way I can get hold of anyone from Coursera. It is a scam system. You have been warned.
By achref l
•Oct 22, 2023
the labs arent useful + absence of a lot of supervised machine learning models
By Rishab J
•Oct 22, 2022
I had completed my course and why I did'nt get my completion certificate?
By Soufiane A
•Jun 29, 2022
THE FINAL ASSIGMENT IS TO HARD
By Anusha V C
•Jul 8, 2024
The course is beginner friendly and provides an excellent starting point for anyone interested in machine learning. The content is well-structured, and the concepts are explained clearly with practical examples covering the essentials of regression and classification techniques. (The optional labs enhance the course by making coding more engaging and simpler). Professor Andrew Ng's teaching style is exceptional. He has a knack for breaking down complex topics into easily digestible lessons, making the learning process enjoyable and effective. I am also incredibly grateful for the financial aid, which made it possible for me to enroll in this course. Overall, I highly recommend this course to anyone looking to start their journey in machine learning. The combination of Professor Andrew Ng's excellent teaching, comprehensive content, and beginner-friendly approach makes it a standout learning experience.
By Michelle W
•Jun 20, 2022
Excellent course, it really lays the groundwork for understanding the concepts and some of the math behind it, and provides an opportunity to play with the python code in labs. This is a step up from "AI for Everybody", and a good prep for the Deep Learning Specialization. I'm a data analyst with some coding experience, prior coursework in calculus & linear algebra & basic statistics, and found this a great supplement as I'm also working through the Deep Learning Specialization.
By J R
•Jun 21, 2022
Fantastic introduction to Machine Learning. The labs have been updated with widgets. You can add data points, change the polynomial order and many other changes that makes this a great way to understand how the different components of machine learning are done. Highly recommend.
By Alireza S
•Jun 19, 2022
This is a great Machine Learning course for the first-time learners offered by the best in the field. IMHO, the focus of course is on learning the underlying theories of machine learning rather than short-circuiting the basic concepts to the helpers libraries developed in Python.