It was awesome experience while studying this . I got financial aid for this and hopefully as sir says it's always about contributions , I will be contributing to ml community . Thanks for the opportunity , it was awesome experience although it was online but the quality of the content and its sequence of arranging topics with lab assignments were fabulous.

The course introduced me to new concepts and algorithms, including neural networks and decision trees. the instructor conveyed every concept very clearly and made it understandable. The labs were very comprehensive and detail-oriented for each algorithm. Looking forward to the complete this specialization and to opt for the next courses in this stream.

Potential review points: Strengths: • Clear progression from basic concepts to advanced topics • Practical implementation with Python exercises • Real-world applications that connect theory to practice • Good balance of mathematical concepts and intuitive explanations • Comprehensive coverage of decision trees, ensembles, neural networks

As someone who is into AI tools, this course helps me understand more about how AI models actually work, respond and return results, classify, generate images (especially image generation). If you are someone who wants to understand Stable Diffusion, Flux, Mid or Dall E, you should really learn it if you want to train models, LORA better.

Absolutely wonderful course. The learning sequence, the topics covered, the learning pace, the hand-on labs, Andrew's explanation... could not have been more perfect. We do all kinds of professional learning throughout. But I have to say that I actually enjoyed learning with this specialization course. I was hooked to it and binge-learnt.

Amazing teaching style and explaining the hard part of Machine Learning. I love the way that Andrew simplified the complex concepts and make them really understandable. The best part of the course which would be the main reason I recommend the course to other is, the balance between the math behind ML and the practical part (coding).

언제나 새로￦운 감각을 열어주셔서 감사합니다 혼자 공부 하면서 부분만 공부하게 되어서 고민이 많았는데 트리를 이용한 분리를 여러 가지 로 해서 확률 계산을 하는 내용을 처음 알게 되서 흥미를 느꼈고 공부를 하면서 새로운 가능성을 느껴서 그걸로 사업을 시작하려고 마음을 먹었습니다 물론 책과 강의로 공부를 하면서 준비를 하다보니 여러 부족함을 느끼고 여러 사람을 만나려고 시도하다 실패는 하지만 강의 열심히 들어서 언젠가는 AI 업계에 도움이 될 수 있는 기술을 만들기 위해서 노력하겠습니다. 저는 사람의 코드를 AI의 계산처럼 만들어서 연결하는 걸 생각 하게 되어서 그걸 한번 파보려고 합니다.

With this course, I learned important concepts about models such as neural networks and decision trees used in supervised learning. The course also provides some important informations about machine learning applications used in real life. I recommend this course for those who want to get started in the field of machine learning.

The content is very interesting and provides an excellent description of the subject matter.

In terms of teaching dynamics, Andrew is an excellent teacher. Congratulations and may you continue to be successful and continue to promote courses of this level.

Thank you for allowing me to have the opportunity to acquire this knowledge.

It is wonderful to learn from Professor Andrew Ng. Loved the jokes about Random Forest. I am grateful for the focus on elucidating foundational concepts in lectures, and the awesome (simply awesome!) optional labs -- which are rich with programming skill-builders. Ready to get started on the next course in this specialization.

An amazing introduction to neural networks. If you didn't take the previous course, you'll still have a lot of fun learning, and you will probably be able to apply everything that you have been taught in this course. Absolutely fantastic. I recommend you take it as soon as possible if you have an interest in Machine learning.

A good Continuation from the first course, it uses the solid foundations gained previously and aplies them on Neural Networks, Decision Trees and Theory on when and how to improve a learning algorithm. Andrew explains difficult concepts in an easy way jus words of thank you to all the team for sharing this knowledge with us

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 course was a really good experience for me, I learned so much! Thank you Jesus for allowing me to stumble upon this course. Try it out, you will love it.

A huge thank you to Andrew Ng and the team behind this specialization, you guys did a really good job. May my Good God Bless you.

Thanks again

Bamilosin Daniel Eniola

Being a beginner in Machine learning, I learnt a lot of things applying and understanding the basics. I liked the way different ML models algorithm like Xgboost and Random Forest are taught, making it more interesting and inducing the curiosity to learn and explore more about the deeper intricacies and concepts in it.

If I could, I would give 4.5 stars. Andrew is a great teacher, and I find this course very interesting and useful. The only downside, in my opinion, is that the course could be a bit more practical. The programming assignments could be more complex. If that were changed, I would give it 5 stars without hesitation.

A truly wonderful course! Between this and the Supervised Learning: Regression and Classification, I feel that many gaps in my knowledge were addressed. It provides the Data Science and theory behind the python that I needed to get a sense of what the commands were doing. Many thanks - you're truly exceptional!

As per everything Andrew Ng, very intuitive and easy to understand.

If you're wondering how the backpropagation equations came to be though, check out the videos I made working it out (my way of giving back)

Link to videos (with Coursera's approval to post): https://www.youtube.com/channel/UCqvDiAJr2gRREn2tVtXFhvQ

Great course for learning fudamentals of neural networks and decision trees. Andrew Ng is the best instructor I have ever had in my entire education life. I hope he keeps developing open-access classes like this in the future as well. Thank you for those who contributed to bringing this awesome class together.

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.

Very challenging and really requires you understand the Python code to get the labs to function correctly. The strictness of the indentations for Python and being off by one space without a prompting editor was problematic, but once seen or you know about it you can correct easily. Really liked the labs.

I had done some courses like this in the past, but it's been 5 years since that time so I wanted to refresh my knowledge. I've got to say that this is by far the best beginner-level course of this type with the teacher giving lots of intuition, something that I find lacking in most other computing courses.

I simply love Andrew Ng's teachings. He makes every topic so easy to understand, while also highlighting the importance of in-depth study.

The labs are great. Interactive visualizations of how transitions take place after every step of algorithm is the best part.

Thanks a lot for creating these courses!

I'll definitely recommend the course to anyone starting out, as it helped breakdown hard concepts into understandable bits. Kudos to our favorite tutor, Prof. Andrew Ng for taking his time to do this. I've been imparted with enormous knowledge, and looking forward to what the future has in stock for me

One of the best course to learn on coursera. I was given detailed explanation and useful labs to understand the concepts(do not skip optional labs). However, I would love to see the practice quiz more challenging so it could help me to improve memory about the lesson. Thank you so much for the course!