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Kinda more theory-based compared to the last two, but still good regardless

I see the point, but takes too long to make it. But part of a great series.

useful hints and techniques to manage ML Projects and choose right approach

I thought the course was clear and gave useful tips in leading a ML project

A bit short, maybe combine this into other courses? Or expand it with labs?

Muy interesante, se aprende mucho en situaciones aplicables a la vida real

Very useful tricks / method to approach typical machine learning projects.

I loved the use cases it gave a practical uses of what I've been learning.

Some hands on exercise to complement the theory would have been excellent.

I am pretty surprise that this course does not have programming assginment

provide student with some code tests like previous courses may be better .

quite detailed and easily accepted way of understanding all the materials.

Good and useful material. However the homework is not challenging enough.

Some video issues, give this course a slightly lower production values...

Very useful for people working in ML. Short on content but one of a kind.

Lot of blanks and glitches in the videos. Should be better reviewed by QA

Nice but not as informative and well crafted as the previous two courses

Got to learn some insights and guidelines for machine learning projects.

It could have been the last course in the specialization instead of 3rd.

Some effort should be put in editing the videos. Else it is pretty good!

Innovative contents full with good advises and suggestions in the matter

Really good for intuition. Only wish there was some code sprinkled in :)

Very good course, maybe a little more project work would be better, ....

Great videos. Just too long. Maybe sometimes I feel it to be repetative

It would be more useful to have this course last in the specialization.