Excellent course, well thought out lectures and problem sets. The programming assignments offer an appropriate amount of guidance that allows the students to work through the material on their own.
excellent material! It would be nice, however, to mention some reading material, books or articles, for those interested in the details and the theories behind the concepts presented in the course.
par Shaowei P•
very good course but the last few topics could be improved with better assignments that could be broken down into smaller sub assignments
par Jared C•
Exceptional course! This is challenging material for me, but it's presented in such a coherent manner that you can't help but absorb it.
par Saqib N S•
The course dived into basic and advanced concepts of unsupervised learning. As before, Prof Fox did a great job at explaining things.
par Yao X•
Wish to have more detail on implementing the algorithm. Assignments are too easy for understanding the knowledge behind the scene.
par Songxiang L•
Very good, not only learn many good ML concepts, but also polish my python programming skill a lot. Thank you, Emily and Carlos.
par Dongliang Z•
I enjoyed this course. This specialization is very good for machine learning beginner. Look forward to the next course anyway.
par Целых А Н•
Find the course useful. The authors presented a simple and clear visualization of the meaning of algorithms. Excellent!
par Robert C•
Emily was fantastic at explaining difficult to understand concepts. Thoroughly enjoyed the course, and learned quite a lot.
par Kuntal G•
Very Good in depth explanation and hand-on lab machine learning course. very focused on real world analytics and algorithms
par Arun K P•
Very useful and informative .It help and provide confidence to the job more effectively. Thanks for the help and good cour
par José M T•
The teachers are really amazing. They do not just explain it as if they read a book. They explain the concepts very well
par Vikash S N•
It was great but I was also interested to implement the solutions with pyspark...though I did it eventually. Thank you!
par Marc G•
Clear and well designed course. The assignments are quite thorough. Sometimes, quiz question are not so clear though.
par Andrey N•
Some themes are shown very superficially it would be great to go deeper. Despite of this the course is great!
par Rohan K•
Good introduction to very complicated concepts. I now have the tools to learn more about HHMs and anomaly detection.
par Justin K•
An interesting topic, presented well by the instructor and reinforced by intermediate-level programming assignments.
par Somu P•
Excellent course, which gives you all you need to learn about machine learning. Concepts and hands on practical ex
par Freeze F•
From LDA onwards the pace ramped up ! Please be slow during advance topics. But altogether it was a great course.
par Fahad S•
Emily ross is an amazing instructor. The course introduces many complex topics and presents them intuitively.
par Patrick M•
Excellent course. Nice selection of algorithms reviewed - all clearly explained with sample implementations.
par Jorge L•
I'm a grad student and I can notice the instructor makes a difference in this course. I fully recommend it.
very good! strongly recommend to people who want to start a career on data science or are interested in it
par Cristian A G F•
In general, all of the courses were awesome because of the methodology used by the professors. Thank you!
par Prasant K S•
It is explained in simple and lucid language by expert Emily and codes illustrated by Carlos. Go for it.
par João S•
Great course. Well packed, well explained, nice practical examples, good all around MOOC with of info.