I would like to thank all the members of Coursera for designing this course, especially Dr. Andrew Ng for teaching such complex stuff with much clarity and with fun-based activities (videos and labs). I really like the tools you used for the demonstration purpose (e.g. the toys of your daughter :))

I hope to make the best use of this learning.

Thank You once again.

D_Kaur

A sincere thanks to Andrew and all Deep learning AI crew, you guys/gals are the light of machine learning community.

I have a kid of 3, cant wait to introduce all your guys hard work to him someday in the future. Maybe (hopefully not) he is not interested in these topics, but the thing I want him to know is " how to define good people", my answer is "they share and care".

Andrew is an excellent instructor who can break down complicated concepts into pieces that are much easier to understand. I enrolled both Machine Learning course (the old version) and Machine Learning specialization (latest version) and found both of them entertaining and informative. Hopefully I will learn more about AI from courses provided by Andrew in the future!

I've been previously exposed to recommender systems and reinforcement learning. However, I couldn't really understand what was going on underneath them. This course gave me the concepts and tools to understand how these algorithms actually work. Though these algorithms are a bit complex, I feel better prepared to upskill myself in using these tools. Thank you!

Good course. I learn balanced amount of theoretical and practical knowledge in Machine Learning. This course equips me extravagantly to wide range of knowledge in machine learning. However, there is no in video quizzes which I believe useful to check my knowledge before graded quizzes. Overall, I satisfied with the course and very recommend this to others.

Outstanding set of courses.

My only criticism is that it is not at all clear how/where to download the lecture slides or the files for the programming assignments for ones reference later on or how to access the discussion forums - there are absolutely no links on any of the courses' pages.

Overall, the instruction quality and content are simply superb.

With the last course of the specialization, I gained useful knowledge about machine learning techniques such as recommender systems or reinforcement learning, which are used in modern applications today. I think this specialization will be one of the best starters for those who are starting machine learning or want to improve their existing knowledge.

My interest in Machine Learning peeked after taking this course with Andrew. He is such a great teacher. He made the most difficult concepts easy to understand. I just have to keep practicing this course again once more to "reinforce' my learning. This specialization is a solid start for anyone who wants to break into Data Science and ML. Best Wishes

Andrew Ng has an amazing talent of breaking down even the most complex topic to its core components, making it clear not only how it works, but also how, when, and why to implement different algorithms. Through diagrams and coding exercises, he has helped me to understand the processes of so many machine learning algorithms, and he made it fun.

From the three courses of the Machine Learning Specialization, this one was the one most familiar to me, specially recommenders, which I've spent some time working with before. Same as the other two courses, good content and clear explanations. The support material for all the three courses are great also, something I forgot to mention before.

This Beginner Level course provided a very interesting insight to machine learning & deep learning. The flow of the course is well structured, so I found all the topics really interesting throughout the course. I'd recommend this to anyone willing to start their machine learning journey and kudos to the authors and producers of this course!

Another terrific course with Andrew Ng, who continues to explain the topics very well, as well as adding discussion of ethical issues with Machine Learning and AI, which I really appreciate & think is incredibly important for everyone in this field to understand. I'm really looking forward to the next specialization with Andrew!

This course was like a breakthrough for me. It organized my knowledge of machine learning.

I loved Andrew's insistence on learning materials deeply, digging deeper into what's happening behind each model, and engaging with the math in a really really smooth, straightforward, and lovely way.

Many thanks to Andrew and his team.

I absolutely love how lecturer Andrew Ng guided me through the concepts and algorithms of Machine Learning. The simplistic way he explained the functions and concepts really showed that he's the top, the leading expert in this field. I'd love to thank him personally for this amazing learning experience. Andrew, you rocks!!

This is a great course,

Andrew Ng is the best lecuter, very easy to follow and a lot of great material.

I lead ML team and for me this was a great review.

Lab assignments are great!

The only issue I had was with replicating RL lab in my notebook envirionment because of external library packages but this is a minor issue.

I want to extend my heartfelt thanks for broadening my horizons about robotics, reinforcement, and unsupervised learning applications. Your guidance and support have truly made a significant impact on my understanding and knowledge in this field. I am incredibly grateful for your valuable insights and assistance.

Superb course. I'd already completed the early course, Machine Learning. This updated course contains some very valuable additions that made "re-doing" the course very worthwhile, especially the reinforcement learning aspects. It was incredible to witness the training, learning and landing re the lunar lander!

Es exclente! la profundidad de los temas es único. Tanto este curso como la especialización completa es muy completa. Creo que es una especialización obligada y fundamental para formarse en Machine Learning. Gracias Andrew y equipo por darnos acceso a estos materiales que de otra forma sería imposible aprender.

The course was excellently structured, and the hands-on practice labs provided a valuable coding experience. Special thanks to Professor Andrew Ng and the entire Coursera and deeplearning.ai team for this fantastic learning opportunity. Highly recommend it for anyone interested in diving into machine learning.

Andrew Ng is such a great teacher and scientist! He is also very kind, engaging and most importantly he wishes to disseminate the great tool and knowledge of AI and computer science to the world! I am very pleased and happy that I did this course with Andrew Ng and learn so much about machine learning and AI.

Absolutely awesome course. Andrew is a great teacher. He makes very complex topics very simple to understand. I love the way he focuses on building intuition on what is driving the algorithms. I have recommended this course to a lot of my colleagues. Truly wonderful experience! My deepest gratitude.

Unsupervised Learning, Recommenders, and Reinforcement Learning on Coursera was a comprehensive course that delved into advanced topics with clarity. Andrew Ng’s expert teaching made complex concepts accessible and engaging. The practical applications and in-depth insights were incredibly valuable.

A comprehensive introduction to ML, delivered in an easy to follow and intuitive fashion by the inimitable and very enthusiastic Andrew Ng.

This is the best course on ML available online.

Make the best use of the course by taking time to understand the math and also the programming assignments.

Adrew makes machine learning very easy to understand, i would loved to see more coding implementation with Sklearn and Tenserflow instead of implementation with basic python. overall is an excellent starting point to understand machine learning in all his complexity and use cases

This course(and specialization ) presents the content in the simplest and most practical way with a completely calculated and attractive expression. Also, in my opinion, this course is very effective and useful in the formation of engineering thinking and vision towards problems.