The good strategies I learned can even save much time on the project which is not in the deep learning field.

This is a great course! I have learned so many great ideas that I could have never learnt from other courses!

Great course! I haven't found any course where the instructor teaches how to proceed with real-life projects.

Excellent course that helps you to think like an AI practitioner as regarding how to problem solve and debug.

Andrew's explanations are so great and an in-depth analysis of one's model can boost performances incredibly!

this course is very useful and gives a very good understanding of how to approach a machine learning problem.

This is a very good course explaining all the hacks for completing a machine learning project at a super pace

Lots of good advises and guidance for analyzing the performance of neural network effective and efficiently.

very helpful in project level. tells you what decision to make and which direction to go by looking at result

Un curso imprescindible para aprender a realizar proyectos con Redes Neuronales de manera rápida y eficiente.

This course teaches a data-driven approach to manage an applied ML project, using really accessible concepts.

Introduce real-situation problems and address how to strategically resolve them: very practical information.

Andrew uses very confusing language. However, it will help me to think a lot and grab the idea long lasting.

I gain good knowledge from this course. Explanation is very well and clear to understand. Thank you so much.

Another course completed. It was defo good, but wouldve enjoyed more had there been a programming assignment

It's fantastic journey. You can learn more strategy and real case study in this course. Learn more, do more.

a very nice course and a huge respect to the people who are behind the screen and to the lovely instructors.

It was very informative course! I am happy that I have accomplished it. It improved my understandings of ML!

It's a good practical advising course, it help me so much aplying knowledge in text multitask classification

Good course for theoretical understanding. Somethings it is necessary to have an eagle's eye view. Thank you

Very useful information for deeper understanding of iterating development process and key accents during it.

Superb take-aways. Im sure this course knowledge will help me build solid models. Thank you Andrew and Team!

Great course that provides an overview of how to structure ML projects, and various considerations / options

there are practical content about how to optimise models and accelerate the optimisation process. I like it.

I like the high level guidelines part in this course, barely find these kind of material in other resources.