It was a bit tough, but thankfully the instructions and lab work helped in giving a thorough explanation and understanding

thank you Andrew for al the great work that you do and the way you give back is your wonderful great karma and great deeds

A beginner friendly course part of machine learning specialization to gain insights to key algorithms in machine learning.

Excellent course. Prof. Ng is very clear in his expositions, with great material to support the course. Highly recommended

Amazing course! Extremly usefull not only for beginners but for those who already know to code but want to learn about IA

The right mix of technical and non-technical information. The introduction of not-so-easy theoretical concepts is gentle.

This course is awesome. Why? Because it is very simple but at the same time is complete and to the point. Thanks Andrew.

i just love the content and the occasional jokes thrown into the lectures. Learned alot and enjoyes every moment of it.

Loved the teaching by instructor never made me feel like i dont know anything thank you sir and the team for this course

This course has helped me to get a deep understanding of neural networks as well as various machine learning algorithms.

Seriously good but need more math content. Prof Andrew Ng, please include more math derivations and advanced math stuff.

There should be some explanation for the labs in the decision trees topic(week 4) apart from that everything is great.

Es un excelente curso para adentrarse a algoritmos avanzados de Machine Learning. Andrew Ng y su equipo son excelentes.

Great resource for learning basic concepts of neural networks and decision trees. Thanks a lot for making it available.

Easy to understand and learn from. Only improvement would be to explain xgboost and random forest algorithm a bit more

I enjoyed this even more than the previous course in the series and I look forward to unsupervised learning algorithms

Instructor like Andrew Ng. sir, blessing now a days.!! Wish to learn from him face to face!! Best course design ever!!

Good compilation of some of the most common advanced learning algorithms. Missing some like SVM but great in any case.

Developed a better understanding of machine learning libraries and algorithms along with the mathematics behind them.

nice instructor and very useful learning materials, the course is also designed to be very begininger level friendly!

Very strong learning methodology, from easy understanding to abstract content with enriching practices!

Thanks a lot!

Very useful material. I recommend it to everyone interested in learning about practical machine learning algorithms.

It was a great course. I am thankful to Andrew Ng and full team who made these difficult concepts a piece of cake.

The course is informative and easy to follow, building on the material covered in the supervision learning course.

I would like more examples and practical tasks on convolutional neural networks, but otherwise the course is good.