A very deep and comprehensive course for learning some of the core fundamentals of Machine Learning. Can get a bit frustrating at times because of numerous assignments :P but a fun thing overall :)
Hats off to the team who put the course together! Prof Guestrin is a great teacher. The course gave me in-depth knowledge regarding classification and the math and intuition behind it. It was fun!
von Babak P•
Great exposure that requires hand coding the algorithms. Really makes the concepts stick with a perfect combination of theory and programming mixed together.
von Farrukh N A•
I found carols to be the best instructor in machine learning domain, he presented the algorithms and all core machine learning concepts in really great way.
A great combination between down to earth concepts and their implementations in python. Implementation of topics in plain python is what I enjoyed the most.
von Jane z•
The hands-on approach is excellent. Not only I learned ML / Classification, I was able to practice Python skills and statistical skills as well.
von Nikolay C•
Excellent course! I've learned these topics before, but many things were not clear enough. While learning this course my knowledge really improved a lot.
I think support vector machines is an important topic which is missing. Anyway, the programming assignments were terrific. I really enjoyed this course!
von Andrea C•
The course covers most important topics in depth and exercises are very interesting, them helps you to reason about some important theoretical concepts.
von Youssef R•
This is really a wonderfull course, and i recommend it to anyone who want to master some important techniques in the trending field of machine learning
von Josef H•
I like the detailed comparison between choosing different parameters for creating the classification model. I learn a lot of tricks for creating plots.
von Suoyuan S•
This course is friendly to machine learning beginners for the learning material is easy to understand as well as the assignment is easy to accomplish.
von Sara E E•
It is very intuitive and easy to follow.
I hope you add SVM and talk about linear/nonlinear decision boundaries in the next enhancement to the course.
von m w•
While I enjoyed most of the exercises, I found some of the implementations to be more puzzle solving rather than deeply understanding the algorithms.
von Gunjari B•
An absolute marvel of a course! In depth explanation to everything, detailed and important concepts explained so much at ease with Carlos' humour!
von RAMESH K M•
The course has be described in a very precise manner. The instructor takes time to clearly explain the concepts and the importance of the same.
von Filipe G•
The best machine learning course I took online. I've taken other coursera courses, and this is the most complete, comprehensive, and well made.
von Richard L•
Great course. The lectures and programming assignments have been extremely beneficial to help me get a basic foundation of ML classification.
von Fan D•
This course is alright. For some reason I liked the regression course more as this one was a little to simple in terms of the practical.
Course is really good. Assignments are taking too much time if you want to do the course rally fast, with questionable learning value.
von Sergio D H•
AWESOME COURSE!! Carlos and Emily are incredible teachers and the course contents are truly informative and well-paced for beginners.
von Nitin D•
Excellent lessons on this important topic Classification. I think all major areas were explained quite nicely, with proper examples.
von Dongliang Z•
Excellent course! The teacher explained a lot of intuitions during the course. The optional part s are very interesting and helpful.
von Ornella G•
I really enjoyed the topics presented and the fluid way to present them. It's a very well done summary of the classification models.
von Siddharth S•
Excellent course and all the concepts have been explained very simply and with an element of fun.
Many thanks to Emily and Carlos...
von Alvin B K•
This was a very great course. I got the confidence to use ML algorithms and concepts efficiently and also write my own algorithms.
von Gaurav c•
Would have loved even more had Carlos explained his students gradient boosting as well. I liked the way of his taught in lectures.