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.
By Francesco D Z•
Great class overall. Some practice example on multi-task would have been nice.
By Steve D•
Great course for a coding professional to improve on their fine tuning skills
By Maik F•
Greate knowledge, but I had a hard time motivating myself through this theroy
By José A M•
Good background theory for people starting in the field to get familiar with.
By Kumar V•
Good learning , teaches us how to diagnose and plan machone learning project.
By Fredy A O L•
El curso es muy bueno, le dá concenjos para emepzar a mirar redes neuronales
By Isara D S•
As always loved the course, simulations were great and challenging to answer
By Jeff N•
I would have loved more programming assignments and opportunity to practice.
By Mateusz O•
Kinda more theory-based compared to the last two, but still good regardless
By Animesh S•
I see the point, but takes too long to make it. But part of a great series.
By Umberto S•
useful hints and techniques to manage ML Projects and choose right approach
By Sothiro P•
I thought the course was clear and gave useful tips in leading a ML project
By Vito D•
A bit short, maybe combine this into other courses? Or expand it with labs?
By Francisco J M O•
Muy interesante, se aprende mucho en situaciones aplicables a la vida real
By Jean-Michel C•
Very useful tricks / method to approach typical machine learning projects.
By Mandlenkosi N•
I loved the use cases it gave a practical uses of what I've been learning.
By subho c•
Some hands on exercise to complement the theory would have been excellent.
By 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 .
By Ruifang W•
quite detailed and easily accepted way of understanding all the materials.
By Sergey I•
Good and useful material. However the homework is not challenging enough.
By Nimrod P•
Some video issues, give this course a slightly lower production values...
By Abhishek R•
Very useful for people working in ML. Short on content but one of a kind.
By Matteo P•
Lot of blanks and glitches in the videos. Should be better reviewed by QA
By Leon M W•
Nice but not as informative and well crafted as the previous two courses