The course was well designed to give all the basic insights about the advanced learning algorithms.

I sincerely thank Andrew Ng sir and coursera for bringing such courses.

I loved the course. Its hard to go through all the topics as a non mathematician, but with my CS background it worked well :-) Thank you for creating such great material.

Great course! Compared to the previous version, this version deletes the backpropagation in the neural network and adds the tree model, briefly introducing some knowledge.

The course on decision trees, random forests and XGBoost is the perfect balance between summarizing key concepts and providing intuition of the maths behind the concepts.

The concepts of Neural Networks and Decision Trees have been explained thoroughly. The programming assignments further elaborated the implementation of these Algorithms.

This course gave me the right idea about Advanced Machine Learning Algorithms and I've learned a lot of new skills across this course and I highly recommend this course.

An excellent update to the previous Machine Learning course. Goes into excellent detail about each algorithm and the practical notebooks are useful and easy to follow.

The course is very comprehensive and all the concepts are well explained. One piece that's missing is back propagation. other than that, the course is just amazing.

This course easy to understand for complete beginners, has perfect pace and best part is you get to implement theory in code and visualize everything for yourself

I really had fun working through this course. I can't wait to take the final course of this specialization. Thanks a lot Deeplearning.ai, Andrew Ng, and Coursera.

This course widened my view of machine learning algorithms, and it has lots of implementation for research fields of water resources engineering and management.

The Notebooks were designed excellent!

Concepts from the lectures were presented in an easy-to-understand manner.

This course was, overall, challenging and fun!

Very engaging course. It made neural networks accessible and understandable. The hands on labs gave a good foundation on how to use TF for creating neral nets.

Wonderfully taught by Professor Ng, well paced with the easy and hard topics, pushing the mind to the limit but also keeping you hooked with interesting stuff!

Covers the fundamentals in an interesting and easy-to-understand way. The practice labs and optional labs also strengthen your understanding of the material.

This courses are amazingly great, it's so great that we can have access to them. Andrew explains incredibly well and everything is well structured and clear.

It is a really great course for a person like me who is fascinated at AGI. I would recommend it to people who are highly interested in Artificial Networking.

An interesting and intuitive course indeed. Kudos to Mr. Andrew Ng for his tireless yet fruitful efforts. Love and respect from Pakistan to the entire team!

c est extrêmement enrichissant.il offre une exploration approfondie des méthodes et des techniques utilisées dans le domaine de l apprentissage automatique.

Great course for everyone - even for the users who created a ML model before, this is the course that will help them improve their knowledge on every level!

I appreciate Andrew as an instructor for this course because his method of explaining the subject helps students to understand the "why" behind the "what".

Great Course. I would like to thanks to the instructor Andrew Ng for his efforts and the whole team for comping us with such a nice and up-to-date course.

One of the best courses to even gain excellent of deep neural networks. Will recommend everyone to do this course if they want to pursue Machine Learning.

Neurologically stimulating course! The videos were really interesting and informative. I really enjoyed learning the presented use cases and algorithms.

Nice course with really detailed explanations. Recommended for everyone who wants to learn about Machine Learning strategies and algorithms from scratch.