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!).
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
por Kumar V•
Good learning , teaches us how to diagnose and plan machone learning project.
por Fredy A O L•
El curso es muy bueno, le dá concenjos para emepzar a mirar redes neuronales
por Isara D S•
As always loved the course, simulations were great and challenging to answer
por Jeff N•
I would have loved more programming assignments and opportunity to practice.
por Mateusz O•
Kinda more theory-based compared to the last two, but still good regardless
por Animesh S•
I see the point, but takes too long to make it. But part of a great series.
por Umberto S•
useful hints and techniques to manage ML Projects and choose right approach
por Sothiro P•
I thought the course was clear and gave useful tips in leading a ML project
por Vito D•
A bit short, maybe combine this into other courses? Or expand it with labs?
por Francisco J M O•
Muy interesante, se aprende mucho en situaciones aplicables a la vida real
por Jean-Michel C•
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.
por subho c•
Some hands on exercise to complement the theory would have been excellent.
por Yisheng Y•
I am pretty surprise that this course does not have programming assginment
provide student with some code tests like previous courses may be better .
por Ruifang W•
quite detailed and easily accepted way of understanding all the materials.
por Sergey I•
Good and useful material. However the homework is not challenging enough.
por Nimrod P•
Some video issues, give this course a slightly lower production values...
por Abhishek R•
Very useful for people working in ML. Short on content but one of a kind.
por Matteo P•
Lot of blanks and glitches in the videos. Should be better reviewed by QA
por Leon M W•
Nice but not as informative and well crafted as the previous two courses
por Nabham G•
Got to learn some insights and guidelines for machine learning projects.
por Madhumathi R•
It could have been the last course in the specialization instead of 3rd.
por Sébastien D•
Some effort should be put in editing the videos. Else it is pretty good!
por Paulo A V•
Innovative contents full with good advises and suggestions in the matter