It was great learning experience since the implementation of ideas was missing.

Good Course to give insight into how to structure new machine learning project

A bit short and light to be a course on its own but still useful in the series.

Quiz answers were not that clear. They seem more "gotcha" than "deep learning".

It would be good to have more practical/industry scenarios added to the course.

Always great, but some little issues in the content makes it feel less perfect.

Great course, would expect more content for machine learning production system

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