Bewertung und Feedback des Lernenden für Machine Learning: Classification von University of Washington

I wish we had 5th course too,All courses are well organized and can be completed with other tool.

Hope they also include SVM and start courses on deep learning

A very good course - understood a lot about classification and the understanding gained will help in reading text books like Ian Good Fellow for deep learning

Great courses as usual like the previous courses in this specialization. Cater for beginners who want to gain a strong foundation and practical usages for ML.

Great exposure that requires hand coding the algorithms. Really makes the concepts stick with a perfect combination of theory and programming mixed together.

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.

The hands-on approach is excellent. Not only I learned ML / Classification, I was able to practice Python skills and statistical skills as well.

THANK YOU!

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!

The course covers most important topics in depth and exercises are very interesting, them helps you to reason about some important theoretical concepts.

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

I like the detailed comparison between choosing different parameters for creating the classification model. I learn a lot of tricks for creating plots.

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.

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.

While I enjoyed most of the exercises, I found some of the implementations to be more puzzle solving rather than deeply understanding the algorithms.

An absolute marvel of a course! In depth explanation to everything, detailed and important concepts explained so much at ease with Carlos' humour!

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.

The best machine learning course I took online. I've taken other coursera courses, and this is the most complete, comprehensive, and well made.

Great course. The lectures and programming assignments have been extremely beneficial to help me get a basic foundation of ML classification.

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.

AWESOME COURSE!! Carlos and Emily are incredible teachers and the course contents are truly informative and well-paced for beginners.

Really a great course!

Thanks to Emily and Carlos!

I still hope there will be more courses after the 4 courses of this specialization.

Excellent lessons on this important topic Classification. I think all major areas were explained quite nicely, with proper examples.

Excellent course! The teacher explained a lot of intuitions during the course. The optional part s are very interesting and helpful.