MM
Jun 22, 2022
Excellent course, although it would have been good to talk more about backward propagation, after finishing this course this is the only point that is left unclear in my mind.
WH
Jun 18, 2022
An excellent update to the previous Machine Learning course. Goes into excellent detail about each algorithm and the practical notebooks are useful and easy to follow.
By Mohamed N M
•Jun 23, 2022
Excellent course, although it would have been good to talk more about backward propagation, after finishing this course this is the only point that is left unclear in my mind.
By Changlin F
•Jun 22, 2022
Seems lacking some mathematical details like how to calculate Backpropagation this time
By rcotta
•Jun 28, 2022
Course 2 of 3 from the Machine Learning Specialization series. Whoever read my previous course comments will find this may sound repeating, but once again I need to praise Ng's way to explain the topic, which made clear some details - particularly on the decision trees videos - that were not so clear to me, even after a couple of MBA classes about the topic. I do recommend this course.
By Will H
•Jun 19, 2022
An excellent update to the previous Machine Learning course. Goes into excellent detail about each algorithm and the practical notebooks are useful and easy to follow.
By Rajeev R
•Jun 20, 2022
Best course
By Raktim M
•Jun 28, 2022
The content is excellent but some more emphasis must be given on the discussion of the codes in the Jupyter Notebooks otherwise it'll become less appealing to the once who don't have a good grasp over Python.