Very good tips and tricks, but I would have preferred it to be even more advanced.

Briefly share Andrew's experience for directing what to do next in a ML project.

Extremely valuable practical information regarding how to structure ML projects.

This is a very interesting course but yes this is totally theoretical in nature.

Good high-level course on how to think about projects implementing Deep Learning

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?