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

The course walk through (and work through) concepts of linear classifier, logistic regression, decision trees, boosting, etc. For me it is a good introduction to these fundamental ideas with depth but not too deep to be distracted.

I personally become interested in knowing a bit more theoretical basis of the tools or concepts like boosting or maximum likelihood. The course understandably doesn't go that much into math and theory which leaves me a bit unsatisfied :P. But that is probably too much to ask for a short course and I do think the course covers great materials already.

So far it is a mazing. I will rate at the end of the course

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

very goog!

This course is very nice and covers some of the very important concepts like decision trees, boosting, and online learning apart form logistic regression. More importantly, everything here has been implemented from scratch and so the understanding of codes becomes very easy.

The lectures and slides were very intuitive. Carlos has explained everything very properly and even some of the very tough concepts have been explained in a proper manner from figures and graphs.

There are lots lots of python assignments to review what have we learned in the lectures.

Overall, its a must take course for all who wants an insight about classification in ML.

Awesooommmmeeeeee

Learning is fun when you have professors like Carlos Guestrin.

thank you every much, every helpful! ~i will repeat several time~

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

An interesting series of Lectures in the important topic of Classification. The business case approach followed by the instructors provides great help to apply the required theoretical knowledge and further elaborate these methods.

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

This is a great course on ML - Classification that introduces one to the various techniques available in classification and to understand the algorithm under the hood. The course also explains the process, approach for each technique along with the methods to evaluate the results. Overall this takes the student through the next steps of learning classification algorithm from the foundational courses.

Learned a lot recommend!

The course starts slow, but it gets more interesting from week 2. The assignments are more challenging than in Regression, but I have really enjoyed it. I highly recommend it!

This course is so good. I can understand the algorithm and know the way how i can apply this for real life. Thanks so much coursera.org and Washinton university made the wonderful job for everybody. After this course i changed vision, innovation and i think people like me.

Great Information and organised course

Excellent course!

This course much helpful and understandable easily compared previous sessions.

very good! thank you

Great material, easy to follow, and nice examples around sushis :)

wow this was a good course. things got real here and hard. but I feel like I can do anything now

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

awesome course material to nourish your brain to classify in better decision making...

Very helpful!

Very nice feelings from this course. Nice teacher, nice contents and very nice assignements, everything very well structured. As you can see the sentiment coming from my review is a clear +1, so I hope the algorithm looking for good reviews to show to other posible students chooses mine to show up!