Great class overall. Some practice example on multi-task would have been nice.

Great course for a coding professional to improve on their fine tuning skills

Greate knowledge, but I had a hard time motivating myself through this theroy

Good background theory for people starting in the field to get familiar with.

Good learning , teaches us how to diagnose and plan machone learning project.

El curso es muy bueno, le dá concenjos para emepzar a mirar redes neuronales

As always loved the course, simulations were great and challenging to answer

I would have loved more programming assignments and opportunity to practice.

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