If the course was more programming-oriented it would be better. All in all the course was really helpful and very easy to understand.

I highly recommended this course. The only downside aspect here was some unclear suggestions in the code of the last lab assignment.

A decent intro into some of the core ML techniques that are out there and how to use them. Really enjoyed the pace of the lecturer.

There should be some way to download formatted notes of key points from the lectures, and to download the submitted quiz content.

Very Clear and concise teaching of concepts. Good Effort! Thanks to Andrew and the team behind this course. will sign up for more

It's a great course I loved the videos

maths behind the algorithms are explend flowlessly

I wish it focused on practice bit more

it was benefit but i wan't someone explain the code in videos. to make it easy. and the translation not excellent in English.

Deberían agregar subtítulos en español para abarcar más personas.

They should add subtitles in Spanish to cover more people.

The lab classes could also be thought as a compulsory part of the course ,otherwise a really good and a recommendable course.

really amazing course. It would be helpful to have summaries of course material that are downloadable for future reference.

It was fantastic! Andrew is a very good instructor. He made most of the concepts crystal clear while explaining the ideas.

make every lab graded instead of optional. so that we can practice every lab seriously and helps for better understanding

it would be much better if the labs were also explained a bit because there were a lot of things that were quite unseen.

Great course. I would recommend for someone that has a fair mathematical knowledge. I struggled a bit with the formula

I would like it more if problems like K-means clustering and SVMs were also discussed in the lectures and/or labs.

Excellent teaching and high quality learning materials. The jump between theory and practical was a little steep

ts a very helpful course to get into AI, i would sa it could use a bit more coding in the videos to demonistrate

The basics are perfectly and so simply explained and all is done such you must understand what you are studying

Some more practical examples can be included but the course material and topics and ecplaination were great.

Every concept was explained in a very easy and interesting way. Really liked the course and way of teaching.

I actually got the right course at right time and thank you to coursera for providing the course. Hats Off!!

Real life dataset use would have been more helpful.

Also, use of scikit-learn could have been explored more.

Good One, the course is to the point . Please include linear algebra as it was added in the older version .

I don't understand why the practice lab code for gradient descent and the lab assignment code is different.

Explained the complex concepts in very clear and simple way. Labs are very helpful and very well designed.