Oct 16, 2016
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!
Jan 25, 2017
Very impressive course, I would recommend taking course 1 and 2 in this specialization first since they skip over some things in this course that they have explained thoroughly in those courses
by Bert B•
Oct 20, 2016
Very well done course.
Would be nice to have many more very short examples during the lectures that match the formulas. This would help me understand the formulas much better since I do not have a calculus or linear algebra background.
by Akshay B•
May 24, 2017
Excellent and intuitive introduction to classification.Certainly a lighthouse in a rather overwhelming and chaotic learning scenario of machine learning we have now a days(Highly recommended for both mathematics and programming student)
by leonardo d•
Dec 02, 2018
This course covered very interesting aspects of real-world applications for machine learning. From my point of view, the theory was very clear an valuable, until that point that the programming assignments closed the cycle beautifully.
by Jafed E•
Jul 06, 2019
I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand
by Manuel G•
Jan 01, 2019
Really awesome course. Nice balance between practical uses, theory, and implementation projects. It's good they kept the "optional" videos for the more detailed discussion instead of just removing that material. Totally recommend it.
by Theodore G•
Oct 21, 2016
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.
by B M K•
Oct 16, 2016
Challenging and Exciting Course. Lots of ML concepts (Decision Trees, AdaBoost, Ensembles, Stochastic gradient, loglikelyhood etc. ) are introduced and i believe this course is of extreme importance in laying the fundamentals of ML.
by Nitish V•
Jul 06, 2017
The course is well designed for both beginners and experts . The concepts are well explained and the assignments are really challenging. Best thing is , it talks more from practical aspects . The optional sections are really good.
by Ahmed N A•
May 04, 2018
The best course I could find to get a strong hold of the basics of machine learning. Presented in very easy to follow steps with thorough coverage of all the concepts necessary to understand the big picture of each algorithm.
by David E•
Aug 21, 2016
very useful course : covers a range of very practical and useful topics I had heard about but didn't fully understand until taking this course. Some highlights stochastic gradient, boosting, and precision-recall trade offs.
by KYRIAKOS M•
May 12, 2020
After watching Emily's Fox Regression wondered how much better could this professor be...But Mr Guestrin is truly great. Fantastic job, well explained difficult concepts. Probably the best classification course out there
by Wenxin X•
Mar 26, 2016
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!
by PATIL P R•
Apr 16, 2020
Very nice course for beginners to enhance the knowledge.. Thanks to Resp. Sir for your clear view for each concept which helps me lot. Thanks to Team & university of Washington.. Really enjoy the study in each module.
by Maria C•
Mar 08, 2016
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.
by Marcio R•
Jun 14, 2016
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.
by A S P•
Nov 14, 2016
Informative with useful assignments and optional lectures that provide a deeper mathematical understanding. Great for newbies as well as more seasoned computer scientists looking to expand into new material.
by M L•
Mar 14, 2016
Personally I could use a little more on the math behind the algorithms (e.g. Adaboost, why does it work?).
Also, would be great to add SVM in next iterations of this class.
by sudheer n•
Jun 12, 2019
The way Carlos Guestrin explains things is exquisite. if basics is what is very important to you, and can learn code implementation and libraries from other sources, this is the go to course
by Prajna P•
Dec 18, 2017
I enjoyed this course a lot. The case study approach and the optional videos are full of intuitions and I love the way instructors put across the concepts very clearly ... Thank you so much
by Jenny H•
Jan 01, 2017
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!
by Joshua A•
Sep 20, 2016
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!
by Renato V•
Jul 13, 2016
A very good course, with effective intuitive explanations of what the algorithms are supposed to achieve and how. The exercises in Python help understand the topic and fix it in memory.
by Thomas E•
May 12, 2016
A bit easy to get through the exercises bur otherwise a very enlightening and inspiring course. - This is btw a positive review if anybody should be in doubt after taking this course :)
by Shaik R•
Jul 12, 2019
Best Machine Learning classification course by far....
each aspect is explained in detail..but forum responses can be improved..
Great course for machine Learning beginners... loved it.
by Krisda L•
Jun 24, 2017
Great course. I learned a lot about Classification theories as well as practical issues. The assignments are very informative providing complimentary understanding to the lectures.