Kursteilnehmer-Bewertung und -Feedback für Machine Learning: Classification von University of Washington

The instructor is awesome. He explained the boring statistical method in a very interesting way!

In detail course for understanding the various concepts of classification. Instead of relying on the libraries, the course focuses on teaching the algorithm implementation using coding language of user's choice. This helps in understanding the algorithms better.

I think this is an excellent course to give an idea about the machine learning concept of classification. I felt the lectures were to the point, straight forward and more importantly dealt with practical issues and solutions. The assignments are pretty cool, though large amount of code is written at a few points - I still found them pretty engaging.

Useful and interesting~

Assignments were more challenging than previous course. Loved solving them. Enjoyed the optional videos.

Amazing course, Amazing teaching.

The course is absolutely amazing! Very clear explanation of the concepts with great notebook assignments.

Excellent course with plenty of intuition and practical experiments.

Very good course

Another classic and fantastic. Love this Course and learn so much. Highly recommended!

Great course! Learned so much! So excited to use this stuff!

Very informative class! The lectures are slow, clear, and easy to follow.

Hoooray

Curso excelente, desde o material, as atividades práticas e aulas. O fórum de discussões é repleto de pessoas interessadas em ajudar. Essa é a especialização a longa distância definitiva de Machine Learning.

Best ML course I've ever taken!

Excellent course except that week 7 th assignment based on ipynb notebook had some redundant questions. Otherwise a good course especially sheds light on Adaboost, ensemble classifiers and stochastic gradient with batch processing.

Thanks Professor Carlos.

Great course with very good material! I'd like to see assignments that leaves more coding tasks to the student.

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.

Well explaned !

very good

Learning is fun when you have professors like Carlos Guestrin.

Nicely formatted. And it's quite intuitive and practical.

This is a hand-on very exciting course, strongly recommended for all audience

Excellent Course, I'm very found of Carlos jokes mixed with the hard concepts ^^. Lectures are precise, concise and comprehensive. I really enjoyed diving in depths of the algorithms' mechanics (like Emily did in the Regression Course). I also deeply appreciated the real-world examples in the lectures and real world datasets of assignments.

Some may regret the absence of a few "classic" algorithms like SVM but Carlos definitely made his point about it in the forum and did not exclude the addition of an optional module about it.

I found some of the assignments less challenging than during the Regression Course, but maybe I'm just getting better at Machine-Learning and Python ^^.

Thanks again to Emily and Carlos for the brilliant work at this very promising specialization.

Really liked the practical application of this course - very useful in learning classification methods.