The information was divided into interesting and concise videos, and everything shown was explained in order to be understood. It definitely explains the knowledge greatly and Andrew is a versed speaker and teacher! Depth was missing in regard to the fundamental mathematics and statistics, but it is not a focus of this course, but it would be good to still have access or additional information for people who are interested in such!

Though the course is divided into only 3 weeks but I felt like completed a 4-week course, since there are many videos and practices(mostly optional). As usual, the explanation and instruction of Andrew Ng. is really amazing, it should feel like lots of abstract concepts and terms but he did a great job breaking it into smaller parts and show the learning how things are done. Thanks Andrew Ng. and team for making such a great course.

This course is surprisingly excellent. I find the lectures by Prof. Ng to be easy to follow, extremely informative, and occasionally challenging. I do appreciate this newer version of the course that uses jupyter. I tried the older version with octave and I got bogged down dealing with the software installation issues, and never finished that version. I would highly recommend this course to anyone interested in machine learning.

AI 입문에 대하여 최고의 강의입니다. 강의해주신 강사님께서 이 짧은 강의에 핵심만 담기 위해서 얼마나 많은 고민을 하셨는지 그리고 우리의 기억에 남기기 위한 적절한 내용들을 담기 위해서 고심을 하셨을지를 생각 하면 존경스러울 따름입니다. 특히 여러 책으로만 공부를 하다 보니 이해가 안가던 부분들 (언어적으로 or 개념적으로) 에 대하여 거대한 흐름을 잡을 수 있는 강의였습니다. " 정말 잘 아는 사람은 쉽게 가르치는 사람이다" 라는 말이 아깝지 않은 완벽한 강의입니다. 대신 그 이해를 코딩으로 구현하는것은 우리들이 해야할 최소한의 노력이라고 생각합니다. 코딩을 못하더라도 포기하지 마세요 코딩 테스트 안에 답을 모두 넣어주셨습니다. 흐름만 파악해도 최고의 강의이고 이것을 프로그래밍으로 구현 하는 연습을 충분히 한다면 이 세상에 하나뿐인 완벽한 강의입니다.

The Course is really Awesome and it has improved too much from the old one, the graphs and the lab were very helpful and gave me the intuition of all the complex equations and models used in the course, Also the teaching method was really great for beginners and the instructor didn't jump on topics but was moving step by step, so overall i really enjoyed the course while learning and i'm looking forward to start the next course.

Very advanced class for someone without python knowledge. It took me about 3x as long to understand and complete this as my expected date. Eventually, I was able to understand almost everything. Pay very close attention to the lab coding because without warning you;ll be asked to replicate that code even though its never mentioned in the videos. This threw me off for awhile but the information is great and the teacher is great!

This course is just the right way to get started with machine learning. Andrew's friendly way of explaining complex concepts makes it much easier to understand. The assignments aren't so punishing that you can't progress, but not so easy for you to pass them without actually getting a grasp of what is being taught. I've also found the tips in the practical assignments really helpful when needed. Totally recommend this course!

This has been a phenomenal course and has immensely helped me in my journey learning about AI and ML. Though people often struggle with learning algorithms and the various terms related to ML, this course is far different from others as it can be easily understood by everyone who learns attentively even not familiar with ML. If you're just beginning your journey in ML, I highly recommend this course over thousands of others.

This is a great course! Dr Ng takes you through the required concepts in a manner that makes it easy to understand. Of course it may sometimes take a couple of reviews to really get to the intuition of it all. Also I feel that knowledge of basic python is a must to do this course. I would not have been able to get through it without having that foundation. Can't wait to start the second course of the series! Thank you Dr Ng!

Excellent course, I've been dabbling in Deep Learning analysis for the past few months but wanted to gain a better understanding of the whole process and elected to take this course. I strongly recommend this for anyone who wants to dive deeper into machine learning algorithms, this was a wonderful experience getting familiar with all the math behind the algorithms themselves and I'm excited for the following two courses!

A best course for beginners , intermediate students. It's great that it contains labs on which one can work, play with it .

Labs are visually good to help understand concepts better and teaching by course instructor ANDREW NG is absolutely nailed to the ground.

Last but not least a recommended course to watch if you aspire to become ML engineer

--Thank you Andrew Ng sir and whole team who contributed in designing this course

After working in the industry as a web developer for one year, I made the decision to transition into a career as a machine learning engineer. I chose to take this course as my initial step in my machine learning journey, and I have not been disappointed. I have learned all the fundamental concepts thoroughly, and I must say that Andrew Ng's teaching methods exceeded my expectations. Thank you for making this course.

Very Detailed Course on Supervised Learning, Andrew Ng's Teaching is just so intuitive and simple to understand. The concepts are taught such that beginners can easily understand them... Anyone who wants to build their Carrier in ML or AI, must use this as a starting point after learning basic coding in Python and learning some libraries like Num-Py, Matplotlib, etc. Thanks for giving us such a wonderful course sir!

This course is by far the best I have ever taken (and maybe the best I ever will!). Andrew Ng makes learning an enjoyable experience, breaking down very complex concepts into simple and straightforward terms that really stick. I always looked forward to his next lecture. I am more than satisfied and happy to have completed this course. I now feel I have the foundation necessary to start building my own ML projects!

I am amazed at the ability of the instructor to convey the intuition behind the methods and at how much effort and though has been put into the materials for course. The mix of coding and methods strikes a perfect balance for anyone with basic background to get started. I sincerely enjoyed this course and absolutely recommend it to anyone, no coding experience, is needed and some basic math background will suffice.

Andrew Ng's "Supervised Machine Learning: Regression and Classification" course is an excellent introduction for beginners. Ng explains complex concepts clearly and concisely, making them easy to understand. His step-by-step approach builds a strong foundation, and the detailed labs provide invaluable hands-on experience, reinforcing the theoretical concepts. This course is ideal for anyone new to machine learning

This course is excellent for anyone looking to learn Machine Learning in an enjoyable manner. I found it very enjoyable to learn from this course. Dr. Andrew simplifies machine learning by providing intuitions and examples for each topic. I am grateful to everyone who contributed to creating this course. The labs were effective for hands-on learning and getting practical experience. Overall, it was a lot of fun!

Abseloutly amazing course, Andrew NG did an amzing job on teaching and also explaining concepts and formulas, it could get better if you shared some liks of usefull material about the theoretical machine learning for example I'd like to know why we use the linear regression model as the variable of the logistic regression model(sigmoid function). thank you for this amazing course sincerely Amirhossein Abolhasani

Hi all,

I am researching object tracking using machine learning techniques. This course gave me a clear understanding of Machine learning methods such as regression and logistic regression. The lecture videos and assignments helped me to think and understand clearly.

I would recommend this course to beginners who want to understand machine learning concepts clearly in regression and logistic regression.

Thank you

Great explanations for all of these difficult mathematical formulars. I understood everything, but there is definitely  enough to repeat over and over again to really get it . Need a little break before participating in part 2 and 3, but I´m looking foreward to it!

I absolutely loved the exercises, it helped a lot to test and try out things and to see, how easy some parts really are, if you take them separat.

Excellent course. Thanks to organizers, managers, lecturers, developers, etc. It was very interesting, very funny and very helpful. I am a senior data scientist and delivering ML lectures in different universities. In spite of that, I have found this elementary course quite valuable. It is always recommended to rethink known topics and ideas and see how other specialists are delivering those important concepts.

Thought it was great and felt it was much more beginner-friendly than the previous course. The programming aspect of it can be tricky if you've never had programming experience, so I highly recommend you learn the basics of python (variables, for-loops, functions, etc.) before taking the course. If you have some brief background in ML and programming you should be able to finish this course relatively quickly.

Very cool course, Andrew is not only a brilliant mind but also a natural teacher. After I have taken both this version and the previous (Matlab) version of the course, I feel that the assignments and quizzes are easier than in the previous version. However, thanks to the numerous Jupyter Notebooks provided, there is plenty of opportunity to dive into the matter in some more depth, and to learn something new.

It's a great course for the beginners in the area of machine learning. You should have some Python basics. Optional labs are great and you can learn a lot alone, if you have desire to investigate a bit their implementations. Final graded labs are also not so hard. I would maybe add more question to quizes and more exercises, examples and datasets. But it's, as said, still a really great course and thank you!

It was a delight for me to take the "Supervised Machine Learning: Regression and Classification" course lately, and I must say that it was a really educational and engaging experience. I couldn't have asked for a better introduction to the field of machine learning than what I received in this course. The instruction was provided by Sir Andrew Ng, a famous specialist, and was nothing short of extraordinary.