Great course, Emily and Carlos teach this class in a very interest way. They try to let student understand

machine learning by some case study. That worked well for me. For me the GraphLab wasn't that

good but you can use other packages.

It's a go-to course for all the learners who want to get an idea of what the emerging field of Machine Learning is about. Well structured and well delivered. Everything from the lectures to assignments helped me grasp all the concepts.

Liked the interactive exercises and coding assignments, you can actually play with your own datasets using the ideas shown in the course and learn to apply the concepts. The course is really very basic but can be a good starting point.

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

I think it is a very useful starter course to dive into Machine Learning concepts and a little bit of practice. I am looking forward to the next course to begin implementing and of course, understanding more thoroughly these concepts.

Excellent course. I would have preferred sample code with Skitlearn and other Python packages as well because I believe still 95 % of the people use those. I liked the Sframe but I don't see right now many people using it in industry.

The course has an excellent approach to ML theory and practice. The TuriCreate Framework helps to increase the learning speed and depth of the classes. Congratulations to the Professors and I'm excited to continue the specialization.

Really great introduction to machine learning and the various methods used. I really liked the length/structure of the lectures and found the assignments to be fun. I also really liked the dynamic the presenters have with each other.

An easy, not simple, but humorous approach to a broad topic with practical samples that you can build on for further studies. Good for newbies as well as a fresh up for advanced applicants. Looking forward to the follow up courses.

Great overview of different machine learning techniques. You don't learn much about implementing the individual techniques in this class, but you get a broad overview of many different techniques, which is the point of this class.

As a primer on ML, to get an overview over the key concepts and plenty of hands on experience, I absolutely enjoyed the course and can highly recommend it. Looking forward to continue with the next course in this specialisation.

I am not exaggerating when I say this has been a course I thoroughly enjoyed compared to some other courses I have done, with get content and instructors. Looking forward to starting the other courses in this specialization ASAP!

Muy útil para empezar a conocer los conceptos básicos de machine learning, con casos comprensibles y útiles a través de python.

Los vídeos son muy explicativos y la corta duración de cada uno permite adaptarlo a cualquier horario.

Learning things with good use cases always lot better. This course really helped a lot to understand machine learning clearly. Throughout this course the explanation of the concepts are so clear and assessments are so intuitive.

very nice, no bull-shit introduction into main concepts from a practical perspective. It showed both easily exploitable possibilities in the field of ML as well as the outline of a huge horizon which might reach far beyond this.

This is a very practical an easy way to understand what is behind the ML world. Also, there are a set of tools in this course that would let you implement basic smart applications. I am ver pleased for being part of this course.

I really enjoyed this course. The case study approach and the IPython hands-on gave a good understanding of the concepts discussed in the lecture videos. I'm looking forward to complete the specialization. Highly Recommended!!

I enjoyed this course as a high-level overview of the basics of machine learning. While I liked the use of Jupyter and Python in general, I would have preferred that the course use scikit-learn. Overall, solid and fun course!

People who likes top-down learning approach should start ML from this course.

Instructors explain basic overview then follow with interesting practical tasks that makes you understand the topic much better.

Highly recommended.

Very cool course. I can say is the best course for intro to a big science called machine learning, have a lot of good real life examples, with gread mathematical understaing of how things works, i thinks is really cool course

It was indeed a very well designed course that not only gave a great overview of various machine learning techniques, but also gave hands-on experience in implementing those techniques. Loved Dato. GraphLab Create is awesome.

It was instructive, easy to follow and fun to learn! Great thanks to Carlos Guestrin and Emily Fox for creating this excellent course! And thanks Coursera for making the high quality educational content available to everyone.

A very great course !!!!! Two teachers are doing a good job. They use a kind of practical way, case-study, to teach me lots of practical machine learning knowledge. I will learn the next three courses in this specialization.

I like the approach the course is designed on, starting with basic know how about all machine learning techniques. Later on dedicating a course on each individual approach. I am looking forward to complete my specialization

very good course, complex topics explained through intuitive and practical use cases, in short time provides an overview on Machine Learning and gives the student the chance to go in depth if necessary.

I liked it very much.