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.
Oct 17, 2016
Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much
교육 기관: Mohamed A E•
Jun 06, 2020
the course concepts were good but as everyone is saying the materials are outdated and you use TuriCreate instead of GraphLab so you have to search for the appropriates functions some times, and the installation was hard too because TuriCreate works only on Linux or WSL, I almost quit the course because I couldn't install it at first
교육 기관: Nik M N N G•
Feb 11, 2020
The material in this course severely needs an update. Some of the code examples (not from the video, because the video is obviously from old materials) are problematic. It's an interesting experience to learn a new library but I wish the experience is different. The quiz should be tougher in my honest opinion.
교육 기관: Jaime R•
Dec 17, 2018
Great introduction course. However, getting the notebooks to work with Graphlab is a real pain. The notebook exercises are also mostly make-work rather than real explorations. The explanations and the notebooks themselves are pretty good though
교육 기관: Ayush G•
Jun 06, 2020
the course seems outdated in many aspects, the support isn't available to clarify doubts and the documentation isn't updated either. Moreover, the software support has ended.
교육 기관: Jefferson N•
Feb 13, 2019
A good course, but the tools are a bit dated and it's showing its age.
교육 기관: Craig G•
Aug 05, 2020
It is interesting, but turicreate isn't compatible with current version of python (3.8) and there's little/no support as the forum is not curated and not much student interaction. The problems seem to be only loosely related to the material. Many questions in the problems aren't discussed in the lectures and turicreate isn't widely used so it is difficult to find explanations or clues on how to proceed.
교육 기관: Malik M W•
Mar 31, 2020
I think this course is outdated as they are using python 2 also the platform they use for machine learning only supported by python 2. Due to these limitations, I too was unable to continue this course. Because every time you have to work with new libraries you have to uninstall python 2 and reinstall python 3.
교육 기관: Aravind R•
Dec 28, 2015
Instructors or TAs are not available in discussion forums. and the course is focussed on promoting "graph lab" proprietary package of the course sponsor. Maybe you can have a look, not beneficial if you are serious about learning ML.
교육 기관: Ujwal A•
Mar 27, 2020
This course has used windows OS and application built for it. But the library/application is no longer supported on windows. So this is really a big problem for windows users.
교육 기관: Joseph C•
Jul 29, 2018
Overly relies on a paid software (free for the course) called GraphLab. The course can be completed without GraphLab, but expect little / no responses to questions.
교육 기관: Daniel J•
Jan 07, 2017
excessive use of GraphLab create which is not an industry standard.
교육 기관: Keith P D C•
Oct 28, 2019
Two stars because of GraphLab! Otherwise great concepts!
교육 기관: Vishok•
Oct 12, 2020
IF you are a beginner who would like to take up a job in a Data Science related field, read on:
The packages used here are not listed in a single job requirement in Angel, Glassdoor, etc. I know they said use the tools you want to, but most people taking up courses like this or similar are people with none or limited experience in Machine Learning. Rather than promoting tools created by the professor (Turi; Read the Wikipedia page, it seems like an advertisement) they need to use tools that are widely used in the industry.
(Though Turi has been acquired by Apple, the scope is very limited)
Furthermore, due to lack of proper support and solutions on sites like Stack Overflow, it gets harder for a person who lacks programming experience to debug if any problems arise
**THE BIGGEST ISSUE: Turi is NOT SUPPORTED on Windows!** I had to use a virtual environment in Ubuntu Terminal. (I may be wrong with the exact wording) For finding out how to use the package read this:
(Funny thing, the author of the page actually wrote "If you are taking the Machine Learning Foundations: A Case Study Approach", meaning someone would rarely use it for anything else IF they do)
Concept Explanation was good, but the above point was a major disappointment because I had to learn packages like Pandas and Scikit-Learn (Any job listing on Machine Learning using Python would list these as a MUST requirement. Besides, the support available on Stack Overflow is huge) after learning a package I would never use in my job.
So my suggestion is if you don't mind learning Turi and would like a surface level explanation of the concepts, go on.
교육 기관: Mihir I•
May 13, 2020
Extremely disappointed with the quality of the teaching content. There is a major disconnect between the materials presented in the videos and quizzes. While there is a warning that there has been a shift from graphlab to turicreate, there is no way to assess the impact on additional effort required to fill in the gaps. In fact, one of the instructions in the week 2 programming assignment is outright wrong so you will be able to pass quiz. The discussion board is tough to navigate because of the subject heading are cryptic e.g. Need help, Error, etc. As a result one has to sift through many post to get an answer. Compared to other offering on Coursera, It is not worth paying for this course.
교육 기관: Peter F•
Mar 30, 2020
This course would be okay if it weren't for turicreate, a Python package that's supposed to simplify things. If you have Linux or a Mac, it will do just that, but if you have Windows steer well clear of this course. The lecturers haven't considered the possibility that anyone might not have Linux or a Mac. All the faffing around getting turicreate to work (I did it once and I'm not doing it again) wasn't worth my trouble so I ended up guessing the answers to the quiz questions (you're allowed three attempts every eight hours) just to get this course out of the way. I'll use something actually accessible for the remaining courses, namely R.
교육 기관: Rithik S•
May 26, 2020
The files that are given in readings are unable to open and turicreate cannot read that files also. I cant complete my assignments without reading those files. They haven't given any detailed explanation about how to read those files. In videos they had explained through csv files but in assignments they had given sframe file which are unable to read
교육 기관: Jitendra S•
Apr 29, 2016
Dato tool does not even install properly.. so n´makes no sense to continue with the course. The support team fail to help in installing ... :-(
교육 기관: Ashutosh N•
May 30, 2020
The course is explained using turicreate , which does not work in windows properly. It should have been explained using open source libraries.
교육 기관: Krupesh A•
Feb 15, 2019
Uses very old versions of libraries. Many students are facing issues which remains unsolved. Not recommended to pursue it.
교육 기관: Shreyash N S•
May 20, 2020
graphlabcreate creates many problem while working..it should be changed
교육 기관: Japman S•
Jun 07, 2020
Based on Python 2 libraries not working on python 3. Obsolete Course
교육 기관: Youngmin C•
Sep 06, 2019
Too old, bad packages, not much to learn. too basic.
교육 기관: Darren R•
Oct 13, 2015
Thoroughly disappointed to see this course based on
교육 기관: Kaushik M•
May 01, 2016
Too many videos and not cluttered assignment codes
교육 기관: Ryan C•
Aug 22, 2016
This course is excellent for anybody new to machine learning and wanting to learn this new skill from the top down. For me, I have a strong background in machine learning, not in the context of big data, but I wanted to get familiar with Python and learn how modern companies are using machine learning in practice. This course provides that applied approach to implementing a broad range of machine learning applications with Python, applied to real problems.
A course this small cannot provide everything - what this course does not provide is in-depth technical tutorials on the workings of machine learning algorithms. There are many courses out there which do, but this course to great for learning a practical approach to problem solving with machine learning and data processing.
If there is a downside, I would say that the use of paid packages in the lectures (graphlab) limits the student's ability to learn Python using the freely available packages on the web, which was my personal preference. However, this is not purely negative, since there are many employers out there who would like to know that you have practical knowledge of things like AWS and graphlab. I did enjoy learning about those packages and services and I feel like I learned something positive which I can share with potential employers.
Overall, a very good concise course - one of the best on Coursera for vocational learning in my opinion.