MM
22 juin 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
18 juin 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.
par Mohamed N M
•23 juin 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.
par Changlin F
•22 juin 2022
Seems lacking some mathematical details like how to calculate Backpropagation this time
par Yuriy G
•1 juil. 2022
Slightly disappointed with the assignments to be honest, most of them are too easy to solve, and moreover can be just copypasted from the hints.
Great theory which lacks some demanding practice tasks.
par rcotta
•28 juin 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.
par Will H
•19 juin 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.
par Davi M
•1 juil. 2022
I really enjoy doing this course. Thanks!
par RyounHeo
•1 juil. 2022
The best machine learning course!!!
par Hritik A
•3 juil. 2022
Watched till week2. Great Content
par Fernando A
•1 juil. 2022
Excellent course!
par Rajeev R
•20 juin 2022
Best course
par Raktim M
•28 juin 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.