1 de dez de 2020
I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
1 de jul de 2020
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
por Amir R K P•
7 de dez de 2018
I wish there was more examples, visualization and depiction of work with referral to papers or experiment here. or perhaps a bit of project management, data management.
por Pete C•
24 de jun de 2018
Enjoyable, but felt a little less challenging and more hastily assembled. Regardless, the material is valuable and as always, a pleasure to be instructed by Andrew Ng.
por Lars R•
29 de ago de 2017
The course material is relevant and useful, however, I agree with other reviewers that these 2 weeks should rather be a 1-2 weeks addition to one of the other courses.
por Andrew R•
30 de abr de 2018
Quick course. Worth taking because gives some practical guidance on what avenues to pursue when finding a optimal model (which takes into account human time required)
por Poorya F•
10 de dez de 2017
The first week is too long with repetitive materials. The second week is very interesting. However, I wish the course was designed such that it required some coding.
por Hany T•
27 de ago de 2019
Great course, great professor .. the only issue is that I feel sleepy every time I watch the videos :), it's some how single tone. Also the audio could be improved.
por Kody L•
16 de fev de 2022
Not quite as practical and informative as the first two courses in this specialization, but overall still quite enjoyable and helpful. Excited for the next course.
por Karthikeyan C (•
16 de mar de 2020
It is always important to learn above the problem-solving methods and tools. This course teaches the complete diagnosis methodologies for Machine Learning problems
por Mehran M•
25 de jun de 2018
Overall, very informative, however I think the content of this course could be divided between the first and the second course.More assignments would've been nice.
por Rajesh R•
26 de nov de 2017
Lots of practical advice and ideas on how to work on actual projects and things to look out for. Great stuff. Wish it had a few programming exercises or a project.
por Ross K•
30 de ago de 2017
Useful introduction to meta-level principles of machine learning process management, but not quite as groundbreaking or well-instructed as the previous two courses
por kArThIk T•
13 de abr de 2020
A real time project or programming assignment could improve our confidence level.
All of these courses if it had readable material along with video, it'd be great.
9 de dez de 2018
Hope to have coding practices for the second week's materials.
Anyway, the current course is already very helpful. Thanks to Andrew and all staff behind the scene!
por Jussi V•
18 de fev de 2018
Content is good, but a bit thin... This course makes sense as part of the deep learning specialisation, even if this is a bit too short to be a course of its own.
por Boris D•
23 de jul de 2019
A bit less interesting than the others I think. To me the whole first week was full of obvious stuff. The second week, however, was very interesting and helpful.
por Subash P•
23 de out de 2017
There was lot of theory and probably not one of my strengths. However the content is very useful for bringing some structure to machine learning problem solving.
por Jaime R•
20 de nov de 2018
This course could have just been an extra week or two of course 2. It doesn't have the depth of the others, although it is very practical and I like the content
por Calvin K•
4 de mar de 2018
Good advice on how to work on a machine learning project from the ground up. Tho most of the material is already covered in Ng's Machine Learning Yearning book.
por Deleted A•
19 de nov de 2017
Nice to see a course on machine learning about the 'other stuff' around machine learning. However, links didn't work half the time and it was a bit unpolished.
por Klas K•
13 de out de 2017
Some of the lectures feel quite lengthy and repeat stuff. It seems to be easily possible to condense into one week which could be added to the previous course.
por anahita p•
19 de jan de 2019
a lot of topics are covered in machine learning course, but this has an upgrade to input from previous course due to changes has happened in AI in last years.
por David M M•
17 de nov de 2018
Valuable tips to apply in machine learning projects. I'd like to have some programming assignment that gives opportunity to practice some of those techniques.
por Luis A•
20 de abr de 2018
Es muy bueno el curso lo recomiendo si se desea tener un conocimiento general sobre los aspectos a considerar en las etapas del desarrollo de proyectos de ML.
por il K•
19 de mar de 2018
Advanced course, as always well done :D
Anyway, something for me strange is that there are only quitz but not exercices in Python/Tensor Flow... This is a pity
por Alejandro Z•
22 de set de 2017
I loved the lessons, they are very practical. The only thing that I think could be improved are some of the quizz questions are worded in a bit ambiguous way.