JM
Sep 21, 2022
Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses
AD
Nov 23, 2022
Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.
By Hosein F
•Oct 20, 2022
Lectures were very clear and smoothly explained but the discussed consepts were only for complete begginers.
By Muhammad B
•Dec 4, 2023
Thank you sir . I learned many new things from this course which will help me to much in my research work..
By Xander N
•Oct 18, 2023
Lot of great learning, but not taking into account using a lot of newer open source options.
By Daniel S
•Apr 12, 2024
A bit long winded for problems that can be solved with 1-2 lines of code
By A A
•Mar 16, 2024
the course lacked the many beginner things and was slow enough for me
By Abdallah A
•Jan 6, 2024
The coding parts are not easy to understand on your own as a beginner
By Hardik D
•Mar 2, 2023
3 and half. I wish the course was designed to get us to code more.
By Yuliya A
•Mar 8, 2024
Instructor is wonderful but course structure can use improvement
By Ganesh K
•Jul 26, 2023
Course is good but lab assignments and exercises are less.
By shivam s
•Feb 26, 2023
Should also some small projects for better understanding!
By Mohamed a a
•Jul 23, 2023
good course but i wish it was more project oriented
By kunal s
•Jun 12, 2023
please include projects in this course.
By Boris A
•May 26, 2023
A lot of theory and a bit of practice
By Josep B P
•Dec 30, 2023
Step down from the old course.
By Sepehr
•Mar 7, 2024
Easy to follow but useful.
By Fernando B
•Oct 23, 2023
Laboratórios muito básicos
By Harsh S
•Jun 16, 2023
average course
By Donia A R A
•Jul 16, 2022
Excellent
By Eman E
•Feb 9, 2024
good
By Mahesh G
•Aug 22, 2023
s
By Roman K
•Feb 29, 2024
I passed the "Machine Learning" course by Andrew NG in 2019, and I took this course as a part of my specialization. So this course looks like a simplified and cut version of its predecessor. Most of the Lab files are not downloadable as PDFs, so, after the course finishes - you can't have that data with you. Quizzes are so much oversimplified, like 2 questions, I think in the previous course it was much harder and it took me time to learn things. This review is a bit chaotic, I am sorry for that. I know that Andrew Ng is a great teacher, and in the previous course, he gave so much more valuable information and the simplification of that course makes me sad.
By Malcom L
•Mar 5, 2023
I found it hard to follow and confusing. By the time, we finally got to do some hands on work, I felt totally unprepared. Could have done more to explain the python code or to work the student slowly into the coding assignment. All in all, I can not say if it a good specialization, yet after the first course I am looking for something more hands on and beginner friendly. I am a bit disappointed as I have heard only stellar things about this course.
By Eric H
•May 17, 2023
The quizzes and labs are too easy to be of value, with many of the quiz answers literally being written in the image displayed above the question, and labs basically just require you to translate a specific equation into Python.
There isn't really a way to tell if I understand the content or not, I recommend you do not pay for this course.
By balogun s
•Jun 27, 2023
I cant seem to access my optional lab materials even when i have not exceeded deadlines and dont have have an outstanding payment. it keeps telling me session timed out and keep repeating the same when i click the reopen button. i really enjoyed the course but i didnt like the fact that i couldnt access my optional lab material.
By Caio A
•May 3, 2024
Very, very very basic. If you're looking to freshen up some concepts, this is not for you. I wouldn't even recommend this course to CS students as the course avoids at all costs at explaining the maths behind machine learning.