Feb 20, 2016
Fantastic intro to the fundamentals of machine learning. If you want to take your understanding of machine learning concepts beyond "model.fit(X, Y), model.predict(X)" then this is the course for you.
Mar 03, 2018
My first and the most beautiful course on Machine learning. To all those thinking of getting in ML, Start you learning with the must-have course. Thanks Andrew Ng and Coursera for this amazing course.
創建者 Carlos E R d S•
Jul 16, 2019
The course will give you the incites to understand the data driven mathematical functions to write softwares that can behave or change its behavior, based on stimulus (data).
Andrew Ng is excellent
創建者 Prateek J•
Jan 21, 2019
Exceptional. Best course to start learning Machine Learning! Only one grouse though, the exercises are in Matlab and not in python.
創建者 Hou Z•
May 05, 2019
Very good instruction for machine learning, and also very very good for new comers!!!
創建者 Nikhil J•
May 18, 2019
It was a great learning experience. All the lectures were in details.
創建者 Aditya K•
May 18, 2019
It was a very helpful course.
創建者 Kothala M K•
May 18, 2019
創建者 Deleted A•
Apr 02, 2019
Have to give a star so I will give it one. Others rate this course highly. I don't know why.
Course states no requirement for knowledge of linear algebra. However this is not really practical and seems disingenuous. I have spent a lot of time re-learning linear algebra.
I have spent much more time on the work than the course states and unless you are currently involved in similar work you probably will too.
I have never received any response to the feedback I provided.
Many times I have been frustrated because the math material is treated casually but then later success on quizzes and assignments are based how well you understand the math. So while the instructor and content can treat the math as casually as they wish, unfortunately, you cannot be so casual.
創建者 Mehdi A•
Feb 25, 2018
Too many trainings and assignments without enough practice, exercise and examples. This can be very confusing for a person taking the course for the first time.
創建者 Brian L•
May 25, 2019
There's one saying in Chinese that says "一日為師，終身為師" which means once being someone's teacher, even just one day, you're the teacher for the rest of his life. Thank you for all your efforts and I really appreciate it. I'll keep working on Machine Learning and hopefully one day I can do the same contribution to the human society as you did.
May 18, 2019
Explanation was very good and assignment helps us to understand the real picture. The way course is planned along with octave exercise, Graphs and visualization of data (X,Y) is very good. Very good course who is starting the Machine learning from scratch.
創建者 Maksym M•
Aug 22, 2018
So much like it. It gave me starting push in this interesting topic. And one important thing that after this course I figured out I need to continue dive into machine learning.
創建者 Akyuu F•
May 08, 2019
Excellent Machine Learning Lessons which need little advanced knowledge of mathematics.
創建者 Spencer R H•
Feb 03, 2019
It would be nice if it's taught in either python or R. So I do need to take extra effort to learn octave.
Jul 24, 2019
This is a very basic course on Machine Learning. The main drawbacks are:
(1) the material is old and not updated to reflect new developments in this dynamic subject;
(2) the course is oversimplified and adapted for students who have never dealt with maths or programming;
(3) the assignments and quizes are, with rare exception, trivial and test students' common sense rather than the subject understanding; for example, you can pass the final quiz at 100% without reading or watching the lectures;
(4) the course is badly maintained: some mistakes in lectures and assignments have not been corrected for years, even though they have been pointed out in the discussion forum countless times.
While the Ng's ML course is arguably better than many other Coursera courses, it is very disappointing that Coursera and Stanford hardly made an attempt to improve it.
創建者 Ross K•
Oct 10, 2015
The course is more an exercise in flexing Ivy vernacular than it is actually teaching. The learning curve is too steep to be useful to the majority of potential registrants. You're interested in this course either to (a) learn something about an exciting and ever changing field and/or (b) to have the Stanford logo on your LinkedIn profile. In both cases, move on. The curve is far too steep to be useful or to merit the countless additional hours of background learning the course should have done to bridge the gap.
創建者 Larry C•
Feb 24, 2016
There are too many mistakes and misleading statements made in the course material. There were a lot difficulties with submitting assignments in order to move forward in the course. I had to give up because I don't have time to be bogged down like this.
The students' comments and discussion would be useful if they can be accessed from within each lesson. I can't make heads or tails of what the discussions were referring to, when they are all clumped together at the course web site instead.
創建者 Ganesh K A•
May 16, 2019
If it was in python, then it would have got 5 star from me.
Feb 17, 2017
I would rename this course as Programming Octave with Application to Machine Learning rather that Machine Learning. Once you start the course you will have to focus on Octave rather than on ML topics if you want to do programming exercises. There is no degree of freedom in programming. You are provided with a lot of weird Octave codes which you will have to complete instead of writing yourself from scratch. More than 50% of my time was spent in order to learn Octave and understand (guess!!!!) Octave codes.
So, if you really want to learn ML and try it in practice this course is not for you. However, you could just watch the videos whose level is not more that elementary introduction to ML.
創建者 Alex W•
Dec 14, 2015
The exercises lead you to the edge of a cliff, then push you off. No guidance. Good luck if you don't already know linear algebra, matrix math, and matlab. I'll be looking elsewhere to learn about Machine Learning. Glad I didn't pay for this course!
創建者 Sunesh P R S•
May 17, 2019
This is course just awesome. You get everything you wanted from this course. It covers on all topics in detail, helps in getting confidence in learning all the techiques and ideas in machine learning.
創建者 abbas k•
May 30, 2019
創建者 Mirko J R•
Apr 02, 2019
Excellent lessons by Prof. Andrew Ng.
However very poor support. No answers from any mentor along lessons, you should resolve all doubts by yourself.
I had a problem with my ID verification, I was waiting for a long time without any responses.
Also, it's difficult to contact persons who could support you, I tried to contact someone but just found a Bot. Terrible support.
創建者 Hu L•
Feb 14, 2018
Too easy and too slow
創建者 Rui L•
Oct 01, 2018
I would not recommend taking this course any more. (2018)
This course is showing its age and lots of concepts simply doesn't apply any more, considering how fast this field is changing.
創建者 omri g•
Nov 11, 2015
Been asked to re-take all assignments *after* paying for a certificate! I wil never pay for a Coursera course again, and I would not recommend my friends to do so