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.
Excellent course. In which I had in-depth knowledge of all algorithms and the way she explained attracts to listen except for her spontaneity and speed in progressing.
By Luiz C
•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 Efren C
•Excellent course, I was looking for a course which didn't explore advance math or go into the specifics of a particular ML method but which focuses on the main differences among then and teach about the whole process of M, this is the best course for that.
By S. k
•Excellent course. In which I had in-depth knowledge of all algorithms and the way she explained attracts to listen except for her spontaneity and speed in progressing.
By Dishant S
•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.
By Ram M
•I found the course to be enough detailed to get clarity on the basic concepts of Supervised learning algorithms. I hope to apply the learning from the course in work!
By Chih-Ta W
•Great course, easy to grasp the main idea of how to assess and tune the performance of question-answering machines learned by machine learning algorithms through data
By Alvaro V
•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 Fahim F
•Great course but less in-depth knowledge about each of the hyper parameters and under the hood view of Algorithms.But excellent. Thanks!!!!!!
By Sornamuhilan S P
•A great short capsule course to get overall bird view on Supervised learning. Much needed one for both practitioners and new beginners.
By KAZI S S
•although the course felt a little hurried, I found the course and the instructor to be very engaging. I look forward to learning more
By Bishrul H
•It's a nice course for those who likes to learn the supervised machine learning algorithms with practical experience.
By Kevin A D G
•The explanation of the topics are easy to understand due to the dynamics of theory, practical exercises and quizzes.
By Vinayak D
•really good, wish it had covered random forest and decision trees and other supervised models as well.
By Emilija G
•The whole specialization is extremely useful for people starting in ML. Highly recommended!
By Munem
•Easy and engaging. But would loved it more if some more coding examples were given.
By Brett S
•Excellent instruction. One of the best in ML. Could use a bit more python though.
By Valerii M
•Nice course! Good idea to add more practice with Jupyter Notebooks!
By M J
•Great course! I received so much useful information from AMII.
By Miguel A S M
•Excellent.
Teach you practical stuff that other courses don't.
By Hamza M
•A good refresher on some commonly found learning algorithms.
By Gustavo M
•It was an excellent course. Thank you! You are a master!
By Dinesh K
•Great learning..Talked almost all important issues.
By SATHEESH K G
•Good content and nicely delivered!
By Saulo A G S
•I learn many new concepts
By Cheng H Z
•Explained things clearly