Specialization 3 is more complicated than the previous parts. After you learn this course, you will master the recommender system and DQN. It helps me a lot!!!

Great course for understanding the foundational theory behind machine learning. However, it is a bit lacking in regards to hands-on application of the theory.

Amazing opportunity to learn from someone who can explain advanced and almost impossible concepts in the most concise and clear manner possible. Thank you!

Andrew is a phenomenal instructor. He is calm, clear, concise, and most importantly of all he made me fall in love with machine learning. Thank you Andrew.

Really enjoyed this course with Andrew, explaining all the complicated concepts in simple ways and making the journey fun and exciting for me. Thank you!

Well-designed course content. Expected somewhat more in-depth mathematical discussion at a few places, but really easy to digest for a regular audience.

Indeed one of the best courses I came across. It just cleared all my loopholes in the process of learning machine and deep learning.

Hats off to you Sir.

Fantastic course covering various topics in unsupervised learning. This course is more challenging than the previous two courses in the specialization.

Really great introduction to machine learning concepts taught in a way that someone without a great deal of computer science expertise can understand

It was surprisingly lighter than the other two courses and somehow very fun to take. Thank you Coursera and Andrew for this ! I am really grateful !

Amazing structure of course. I learnt so much through this course and got a solid foundation, which I can apply to my future projects or coursework.

It was a best designed course where I learned a lot especially the Lunar Lander and Aircraft engine anomaly detection algorithms excited me a lot.

It was a great journey; however, if it had been a from-scratch build course, it would have been amazing instead of completing small code snippets.

Wished the previous Matlab course was also available, nevertheless python is great. Great delineation of many important ML and statistics topics.

Thank you. I didn't fully understand it, but it was fun and interesting during the learning. I will review it again and try to learn more deeply.

Thank you, Mr. Ng and team. This has been an amazing experience and I am so glad I had the opportunity to learn and grow through these courses.

Excellent course, and well explained. All concepts and equations are covered. I really like how Andrew Ng simplifies even the complex topics .

I liked the introduction to reinforcement learning and to reccomender systems, that I 've not found in previous distance learning experiences

Thank you all for your considerable efforts to motivate many learners like I, to try their time and talent in AI and machine learning fields.

Thank you Andrew for this Wonderful Experience. I am looking forward for more. Wishing all the Best to you, Coursera and the Stanford team.

It is another wonderful course taught by Andrew Ng. I am grateful for your lecturing and sincere encouragement to complete all assignments.

Wonderful course to learn about machine learning with good instruction. Mainly thanks to Andrew Ng and all others and thank you coursera.

This are more conceptually driven, but give you the practice you need to turn simple AI models into things that provide real world value.

I love this course. Help me very much.

Now I have more knowledge in one of field in machine learning: Reinforcement learning.

Thank you.

Best thing about Andrew NG is , he starts the course from scratch and slowly get to the fancy stuff so that is how your base is STRONG.