Got insights to what Recommender systems are and how it recommends user based on their usage and got to know how Reinforcement learning works and Successfully landed the lunar lander.

clear, concise, well explained and best labs. this course is best starter for machine learning ( unsupervised).

thank you for Andrew Sir, and whole team for sharing your knowledge.

I found the course very interesting and especially the lab-notebooks. Very creative lab assignments- good and easy to follow by non-programmers also like me. Thank you to all!!

Excellent course, which lead me into the arena of machine leaning and AI . It is very useful for my new software development project related to Call Center user issue diagnosis .

Outstanding! The content was comprehensive and well-taught, and the labs and quizzes reinforced the content. Andrew Ng and his team deserve the highest compliments and accolades.

This course is so amazing. the explanation is very clear and so detailed, the explanation is also simple and easy to understand, I got a lot of new insights from here. Thank You

Andrew Ng explains these difficult concepts and breaks it down well for a new student. There could have been more practice labs for Reinforcement Learning before the final Lab.

The explanation of each concept is easy to understand. The most interesting part is the reinforce learning which makes this course very complete and different from the others.

Great job to Andrew and crew! It would have nice to have a primer on Python and Numpy vector operations for this course. Oh well, I needed to learn Python sooner or later!

Extremely insightful and very well organised course with a lot of practical examples. I would recommend it to anyone that wants to start their career in machine learning!

Gem of a course. Andrew has a lot of patience and is highly skilled, no wonder he's called a global leader of AI. He made sure that every knit and grit topic was covered.

That was A great Specialization I have learned so many things so many thanks to Mr. Andrew for his sharing and giving all the power and knowledge that gives in that ❤️🌹

Great way to get an introduction into ML/AI. Linear Algebra knowledge would help better understand the math, but is not required to complete this course. Thanks again!

This is by far the best course i have ever taken and I am not talking about just ML courses. defiantly recommended for people want to start their journey in AI and ML.

This course is both informative and accessible, incorporating the latest machine learning techniques. It is extremely beginner-friendly and well worth recommending.

As a new learner about reinforcement learning I would recommend this course absolutely; it starts from foundations and increases in difficulty in the next videos.

Andrew Ng is a great teacher. He makes learning so much easy even on complex subjects. Learnt a great deal about ML and particularly about Unsupervised Learning.

The concepts were all explained clearly and with good examples! I recommend this course for anyone wanting the theoretical foundation to begin their ML journey.

Wonderful course. Loved the teaching ...gained a really good insight..and proficiency with non labeled data. A must course for all machine learning enthusiasts

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.