Dec 20, 2016
Great course!\n\nEmily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.
Aug 19, 2019
The course was well designed and delivered by all the trainers with the help of case study and great examples.\n\nThe forums and discussions were really useful and helpful while doing the assignments.
교육 기관: Sunil K S•
May 19, 2020
The course was very informative but I face a lot of problems in installing Graphlab and Turicreate. I request the Mentors please use the Pandas data frame in place of SFrame. The mentors are cool.
교육 기관: Hanz C V•
May 22, 2016
Good for a introductory course if someone is getting started with machine learning, but as part of an specialization i think is useless (for people who are planning to take all the specialization).
교육 기관: Jayakrishnan M M•
May 26, 2020
Graphlab is used during the class, where as in assignments, turicreate is used. This causes slight variation in the results between the two. This may cause loss of points in the assignment.
교육 기관: Najamuddin B•
Jun 01, 2017
Course contents are good - however the forums are not active and there is no follow up from faculty to update the course specialization following the change in course structure (eg. no capstone)
교육 기관: Krzysztof L•
Aug 14, 2016
This course is very good. The only problem is that instead of using open source packages like scikit-learn they decided to based it on proprietary GraphLab (which is free only for academic use).
교육 기관: Matej M•
Nov 17, 2017
Good course, a tiles a litte coursory, but a decent introduction to the concepts and vocabulary of machine learning. Something like this should be required for anyone who works with data today.
교육 기관: Rakesh•
Jun 13, 2016
Decent intro, though it would be a lot more useful if the professor didn't use his Software and instead thought us implementations using python/R which are used in most commercial applciations
교육 기관: George G•
Sep 24, 2018
It gives you a fair insight to the world of machine learning, without getting into much technical detail. I guess this information is saved for the next courses of the Machine Learning group.
교육 기관: sandeep d•
Aug 17, 2020
it would be really great if you will teach the provided note book practice examples
and deep learning is a bit harder and faster
instead graphlab if you use sklearn module it would be amazing
교육 기관: Yu Z•
Jun 18, 2016
This course provides a quick and easy introduction to machine learning and python. I enjoy the learning experience. The materials have room for improvement: there are typos and redundancies.
교육 기관: Tahsin T•
May 31, 2020
It is a good course indeed. I have enjoyed the notebook practical part most. Though the theoretical part is a bit boring, I have learnt a lot. Thank You for designing the course in such way
교육 기관: Dominic•
Sep 17, 2017
I like the introductory format of using case studies of a wide range of methods, it gives you an overview of the core machine learning algorithms that are used, and what they are used for.
교육 기관: Santiago J G C•
Jul 06, 2020
Se deben actualizar algunos Notebooks, la librería de turicreate ha cambiado y algunas funcionalidades no están disponibles para python 3. Lo cual complica las respuestas en los examenes.
교육 기관: Keng-Hui W•
Jul 15, 2016
Many practical examples for usages of machine learning.
Almost concepts, no hard math works.
Recommend for beginners who interested in machine learning but did not have any math background.
교육 기관: Frederick R B•
Apr 07, 2016
The course is fantastic and presented well. I never got my feet under me because i had a lot going on at work. Does have some linear algebra pre-reqs that you can brush up @ khan acedemy.
교육 기관: Mridul C•
Jul 08, 2020
Every topic is nicely explained in this course but the only problem is that I was unable to install graphlab library, so it would've been better if any other library would've been used.
교육 기관: Manuel T F•
Apr 13, 2017
It is a great course. Congratulations! Everything is subject of improvement, though. Check again that the version of graphlab referred to in the videos is the one available to download.
교육 기관: Sharma K•
Oct 31, 2015
The instructors are excellent and the material is good. The only drawback is the need to use Graphlab. This would have been a really great course if we had to use open source software.
교육 기관: Chandan K•
Oct 09, 2019
Wonderful Course that I have really enjoyed while learning understandings of Machine Learning and its applications in real-world problems. Thanks to Instructors and Coursera and Team
교육 기관: Joshua R A P•
Aug 19, 2017
i understand the use of graphlab to make thinks easy... but it would be better to state that on the description of the course, because i don't see myself using graphlab in the future
교육 기관: Ahmy Y•
Nov 01, 2015
Great introduction course on Machine Learning. Got hands on experience to build Regression, classification, clustering, recommending & deep learning model with python and Graphlab.
교육 기관: Ornella G•
Feb 29, 2016
I really like this course. Very nice introduction to ML. The only downside is that it would be nice to have some comments on how to implement the algorithms without using Graphlab
교육 기관: Stanislav K•
May 22, 2017
Very interesting and easy to learn course. But I'd like to more of mathematical background in algorythms and of course use open-source libraries instead of proprietary graphlab.
교육 기관: Subashish S•
Mar 25, 2016
Very nicely compiled set of lectures: I am new to machine learning and am finding this course very conducive to understanding some key ML algorithms using a case-study approach.
교육 기관: Gagandeep S•
Nov 01, 2019
The case study approach of this course makes it interesting and fun to learn the concepts of Machine Learning. I only wish more live examples were used to explain the concepts.