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.
SK
Apr 11, 2020
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 Efren C
•Jan 13, 2020
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 Tino v d H
•May 15, 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.
By S. k
•Apr 12, 2020
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
•May 7, 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.
By Ram M
•Dec 9, 2020
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
•Sep 30, 2020
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 Fahim F
•Apr 17, 2020
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
•Jun 19, 2020
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
•Jun 14, 2020
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
•Jun 5, 2020
It's a nice course for those who likes to learn the supervised machine learning algorithms with practical experience.
By Kevin A D G
•May 10, 2020
The explanation of the topics are easy to understand due to the dynamics of theory, practical exercises and quizzes.
By Vinayak D
•Sep 1, 2020
really good, wish it had covered random forest and decision trees and other supervised models as well.
By Emilija G
•Jan 9, 2020
The whole specialization is extremely useful for people starting in ML. Highly recommended!
By Munem
•Jun 23, 2020
Easy and engaging. But would loved it more if some more coding examples were given.
By Valery M
•Mar 31, 2020
Nice course! Good idea to add more practice with Jupyter Notebooks!
By Morgan J
•Oct 30, 2019
Great course! I received so much useful information from AMII.
By Miguel A S M
•Oct 15, 2019
Excellent.
Teach you practical stuff that other courses don't.
By Hamza M
•May 2, 2020
A good refresher on some commonly found learning algorithms.
By Gustavo I M V
•Dec 2, 2020
It was an excellent course. Thank you! You are a master!
By dinesh k
•Oct 4, 2020
Great learning..Talked almost all important issues.
By David B T
•Apr 3, 2021
Good introduction for applying ML at a high level.
By Suwimon K
•Sep 16, 2022
This course is very useful and interesting.
By SATHEESH K G
•Jun 28, 2020
Good content and nicely delivered!
By Saulo A G S
•Oct 29, 2020
I learn many new concepts
By Charles Z
•Oct 10, 2019
Explained things clearly