Learner Reviews & Feedback for Machine Learning Algorithms: Supervised Learning Tip to Tail by Alberta Machine Intelligence Institute
About the Course
Top reviews
TH
May 14, 2022
This is an excellent course which goes into some depth on the different ML models and underlying complexity but it avoids getting bogged down into the details too much.
DS
May 6, 2020
Excellent course for an overview of different ML algorithms. The course is made from a perspective of giving insights in process and not too many mathematical details.
26 - 50 of 65 Reviews for Machine Learning Algorithms: Supervised Learning Tip to Tail
By Kanala J
•Dec 7, 2020
Excellent Teaching!:)
By RIMMON B
•Oct 1, 2020
Really cool teaching!
By UPPUNURU K R
•Dec 8, 2020
Great expilination
By KOTA V
•Dec 6, 2020
good for learning
By Jorge M R V
•Mar 14, 2021
excellent course
By AVASARALA S
•Dec 7, 2020
Learnedly well
By D V R
•Dec 23, 2020
Great Course
By Danilo C D C J
•Sep 17, 2020
Nice course!
By RUCHITHA S K
•Sep 6, 2021
It was good
By kaki m p
•Dec 16, 2020
good course
By 221810304033 N V V
•Aug 5, 2021
too good
By KONDAPALLI D
•Nov 11, 2020
great!
By Enyang W
•Feb 21, 2020
This course covers lots of important ideas and knowledges for Machine Learning practitioners. It is definitely nice to deal with topics such as grid search or scikit-learn, but I think the course only covers these topics in a nutshell, it is more superficially discussed. If you are interested in Machine Learning, you should definitely bring your own motivation to dive deeper into those topics.. Also, Dr. Koop speaks very very fast though.. I attended courses by Andrew Ng, his courses provide a way better comprehensibility for listeners. The notebooks are a bit weird, very easy to understand and are hence not challenging. If you really want to understand the algorithms deeply, I don't think this course is the right one. But all in all, I completed the course, but I don't think I was able to understand everything by taking the course only.
By Luiz C
•Sep 11, 2019
Had higher expectations. Concepts not well and clearly explained. Notebooks bugged (we are actually warned about it), but even so not so interesting. Plan of the Course not so rational: why include the one section about model parameters on its own, rather than for each model.
I give it a 3 as the Instructor is smily and engaging, but it's a 2.5 mark (I have done another ML MOOC on another concurrent platform about the same topic, and the quality was much higher)
By Varun M S
•Jun 25, 2020
The content was good but the videos went too fast and too much theory was involved. For a beginner it was too much to take. I was expecting some Practical and programming aspects in Quizzes and tests but that is okay. Overall a good experience
By BINSHUANG L
•Dec 15, 2019
Good coverage of the topics in supervised learning. However, lacks depth in some of the concepts.
By Sara K
•Sep 30, 2021
The instructor is wonderful. She does not sound like a robot/reading off of cards like so many other instructors do. However, the practice assignments are still in draft form and missing files you need in order to complete them. That is why I gave this a one star.
By Alvaro V
•Jul 11, 2020
Very important concepts about supervised ML are presented. Really liked the course but a little stressed about the graded quices, even though I enjoyed very much.
By Brett S
•Oct 4, 2020
Excellent instruction. One of the best in ML. Could use a bit more python though.
By 121710317007 C J
•Dec 12, 2020
good
By MATTHURTHI P V D R
•Dec 12, 2020
good
By Harika B L
•Dec 9, 2020
good
By 121710308009 B G
•Dec 9, 2020
good
By KANDULA J C
•Nov 21, 2020
good
By VUPPUTURI R K
•Oct 28, 2020
Good