ワシントン大学（University of Washington） による Machine Learning: Classification の受講者のレビューおよびフィードバック

Very focused overview of different classification methods. Goes deeper than in other ML classes.

great course, would have been even more great if there are more details on how to use boosting for kaggle

Worth the wait.

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

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.

Great Course

Very nice course with good mix of machine learning concepts with maths, programming.

Amazing Course Module, I learned a lot of concepts for classifications using Decision Trees, Logistic Functions, Boosting, Ensemble and way to attack problems. Also a lot of coding with Graphlab, I personally like to program by my own but I also appreciating the tool for the class and comparing my skills with other tools. Very cool ! Nice Class

Overall a great course and has a very good instructor. Teaches you all the fundamentals behind classification algorithms and models. Contains very good assignments/projects that make you implement the models yourself to get a much better understanding of the concepts.

As always in this specialization, tough course but so practical !!

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

All courses in this series are organized and taught in an extremely efficient manner. I have learned so much out of them and they have helped me with my current job and my next job search!

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.

Nice course with appropriate amount of detail in it! Covers tough mathematical aspect for those who are interested in it.

Very thorough and engaging. Optional material allowed the more curious to learn a great deal about the topics. Simple, hands-on approach to classification algorithms. Highly recommended!

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

Very Good!

Excellent course. Practical understanding of classification

Really great course. Well done!

This specialization overall is pretty good. Personally I feel like Classification talks more about concepts and important ideas and requires less on coding comparing to Regression. Learned a lot! Love Carlos and Emily!

One of the best online machine learning courses I have taken. Excellent explanation of many techniques on Classification. A great combination of theory and hands-on examples. Thank you, Professors Fox & Guestrin.

I came here to learn. I learned.

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 learning experience. Thanks to Carlos and Emily! Loving every bit of this specialization. :)

It would help if there could be a small introduction to other types of classifiers (Naive Bayes, SVM etc), atleast pointing the student to external resources to try them out.

Excellent effort by the tutors to simplify and motivate the learning process (it kept me engaged) One shouldn't forget that this is just a start NOT an end of acquiring the programming skills as it spoon feeds majority of the supportive (or) actual code!! (so please open a blank notebook and write ALL pieces of needed code as well)