OA
8 de sep. de 2017
This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses
FL
13 de oct. de 2017
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
por Ekun K
•16 de jul. de 2020
This is a great course. I recommend using the Introduction to Machine Learning book to complement the lecture videos.
por Wynona R N
•23 de jun. de 2020
Good introduction course on machine learning algorithms. The books and the readings are recommended to look through!
por Amanda V
•2 de jun. de 2018
You will learn a lot. But the course is a little bit fast for regular students. Assignments deal with real problems.
por Rohith S
•16 de nov. de 2017
A few more code examples would have helped better understand various packages provided by Python and how to use them
por lcy9086
•2 de feb. de 2019
Great course on doing machine learning use sklearn and put little but enough explanation of the theories behind it!
por Alexandr S
•24 de feb. de 2019
It would be nice to have more practical assignments like the last one! Anyway it was very interesting! Thank you!
por Bharat G
•30 de ago. de 2017
Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.
por Alpan A
•27 de nov. de 2019
Very good curriculum with a hands on project. However thera are some limitations with the platform with grading
por Amine T
•21 de jun. de 2017
Complete course on supervised learning
Would be nice to cover PCA and unsupervised learning in the assignments
por Andres V
•16 de oct. de 2020
the final assignment was too hard compared to the other assignments and the contens given in the last module
por CMC
•9 de feb. de 2019
A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.
por divya p
•4 de sep. de 2020
course is very informative with hands on details, assignments and quizzes are very useful for assessment
por Maxim P
•15 de sep. de 2018
Nice there could just be a bit more of a case study to see the difference and decision ways in practices
por Jesús P
•5 de ene. de 2018
great course but could be improved with a better explaining of the class on board for abstract concepts.
por shashank m
•16 de jul. de 2019
Very intuitive course...and carefully designed so that it does not overwhelm the students with details
por ZHAI L
•11 de may. de 2018
Compared to previous two courses in this specialization, this course need more time for self-learning.
por Justin M
•11 de abr. de 2018
Great course overall. Only reason for 4 stars is some of the assignments could use a bit more clarity.
por Manjeet K
•14 de sep. de 2019
Easy to learn the course, just be focussed. Its an applied ML course, not to expect any mathematics.
por Ulka K
•27 de feb. de 2020
I found the dataset in the last assignment difficult to interprit. I was hoping for a simpler one.
por Vishwa M
•3 de sep. de 2021
Course Content was excellent. I really learned a lot. Assignment 4 was a hassle to submit though.
por Stephen R
•8 de may. de 2018
Wish there were a little more theory, realize it's an "Applied" course but still seemed lacking
por J N
•23 de may. de 2021
Teaching by the professor is very good and i learnt every thing from scratch thankyou coursera
por Pierre D
•1 de may. de 2021
Interesting course. Last exercise allows understanding how to use ML, when you are all alone.
por Michel H
•23 de ene. de 2020
helpfull, but so many information in little time. Difficult to get clarified the ideas behind
por Samantha
•5 de abr. de 2020
Very great courses ! It helps to deepen my knowledge in Machine learning. Very recommend it!