Andrew Ng's courses have been instrumental in upgrading my AI skillset. His clear explanations and practical approach make learning enjoyable. I wholeheartedly recommend his trainings to anyone seeking to enhance their AI knowledge, regardless of their background. He offers courses for various levels and backgrounds. His ability to break down complex concepts and provide a clear vision of AI's future boundaries is truly inspiring.

I really liked the class. There is no class out there that is going to please 100% of the students b/c everyone is at a different learning stage in life. This course is no exception... I liked the majority of things taught here, however the only thing that I didn't really like was how the course jumped back-and-forth between Scikit-learn and TensorFlow. In the end this wasn't a big deal for me... just a minor thing. Great course!

El curso de Advanced Learning Algorithms fue excepcional. Las explicaciones detalladas sobre redes neuronales, árboles de decisión y conceptos avanzados como overfitting, underfitting y descenso del gradiente fueron muy esclarecedoras. Las prácticas y proyectos me permitieron aplicar estos conocimientos de manera efectiva, mejorando mis habilidades en Machine Learning. ¡Sin duda, 5 estrellas bien merecidas!

the practices on the jupyter notebooks are actually pretty creative and there are so many hints for learners to finish the labs even if they are rookie in ML, and there are also some interesting examples like Coffee beans, space ship and so on to just find the thing we learn is practical. It is really a joy watching Dr.Andrew 's courses and hope to have further courses about Data Science or ML!

Course 2 of 3 from the Machine Learning Specialization series. Whoever read my previous course comments will find this may sound repeating, but once again I need to praise Ng's way to explain the topic, which made clear some details - particularly on the decision trees videos - that were not so clear to me, even after a couple of MBA classes about the topic. I do recommend this course.

This course is excellent for anyone who is new to machine learning and wants to grasp the fundamental concepts behind it. This course has helped me understand many concepts that I couldn't understand before. I recommend it for everyone, especially if like me you're not the biggest fan of mathematics. Thank you to Professor Andrew Ng and all his team for this incredible work.

I think I will go through the vedio more times, because there are lots of great ideas in this courses. What I love about this course is that the instructers give a very clear path on how machine learning lead into Neural network and decision trees. It also includes many valueable methods to evaluate different models. It will be nice to camp in the random forest for a while.

Amazing Course! Sir Andrew Ng explains complex algorithms like neural networks and decision trees in great depth with more intuition than math which is Awesome and makes learning easier. Learned useful machine learning advices and practises which are as important as the algorithms. I enjoyed the course very much. This specialization is the best way for you to #BreakIntoAI.

This course was very good at setting a base for neural networks and explaining the key concepts. Again, the interactive labs were great and made the course more interesting. I believe a bit more math for back prop and maybe decision trees could have been added. Other than that, it was a great course, and I will recommend it to anyone wanting to learn neural networks.

Andrew Ng is a great communicator and a great teacher. His explanations of concepts that I struggled to understand in the past have almost always clarified the concepts. He's so good at relaying an intuitive understanding of the concepts presented - he has a knack for making even really difficult concepts just make sense! Can't wait to enroll in the next course.

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.

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.

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.

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