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.
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: john p•
No Open Source Libraries, this course is not educational; it is a sales pitch to use their expensive software. Good luck having an employer pay this amount of money for software when they can hire employees that can use free open source libraries.
교육 기관: Christopher W•
The fact that the class uses GraphLab instead of pandas/numpy/sklearn should have been stated up front
The course felt like an advertisement for the professor's toolkit
It was very disappointing that the equivalent standard workflow was not supported
교육 기관: Amirhossein f•
The instructors need to specify that you can run this course specialization using MAC or Linux only. I have wasted my time for the past 3 weeks trying to figure out how to run the Sframe or Turi using windows and could not find any solution.
교육 기관: Natalia Q C•
The instructions to download GraphLab don't work and even when you sign to use the AWS platform the instructions are also old and I haven't been able to start any of the assignments because of that! I want MY MONEY BACK!!!
교육 기관: Alejandro•
Shame that it was not possible to progress with this course without using graphlab which the creator of this course himself created. Please see the course as just a training sales promotion for his ML application.
교육 기관: Toma K•
Warning! I paid for the specialization and now it tells me that the course ended 2 months ago!! i can't complete quizes which is why i paid!!! no options available to contact support.... no refund available....
교육 기관: Pablo S•
I should have read the negative reviews before wasting two full days trying, and failing, to install the required software. I urge anyone reading this to avoid this course and look for alternatives.
교육 기관: Xing W•
I was expecting to solve problems using more open-sourced package. Unfortunately, I feel this series of courses are more of an advertisement for the instructor's software company.
교육 기관: Eduardo R R•
This course rely on commercial library. I am sorry, I don't believe the convenience of a commercial library is good for your learning. You may end up locked in.
교육 기관: Dmitri K•
The whole course based on some proprietary software. In general, it seems that the main goal of the course is promote that software.
교육 기관: sravan•
there is no proper documentation.
at least there should be some clear instructions for first program
교육 기관: Mario L•
I dont like the tools they used, it seems like a promotion for their company.
교육 기관: Lester L•
Not made for Windows, you need a linux or mac VM to apply this course.
교육 기관: Tim B•
Complete waste of time until it is written using open-source packages.
교육 기관: Phillip B•
Would have greatly preferred if open source tools were used.
교육 기관: Chandrakant M•
I felt that I paid for demo of the Dato/Turi.
교육 기관: Nitin K•
Not good support to learning process.
교육 기관: Anton M•
Very interesting course, many thanks to Emily and Carlos.
The approach in explaining materials was exactly what I was looking for in order to understand both applications and implementation of AI.
교육 기관: Nafi A K•
the course contains misleading information about a capstone project that I discovered -by coincidence - that is no longer exists, the video introduction and the final videos is mentioning the capstone project time and again ! , I think this is a major problem bacause such project was one of the most usefull demonstration of the skills that one could acquire from the course, if I knew this before I would not have enrolled in this course, unfortunatly I discovered this when I am already in the second Regression course!
교육 기관: Vishok•
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•
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•
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•
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: Yakubu A•
The learning tools and environment is not friendly. The use of graph lab seem outdated since python 3.7 does not seem to support the module. I suggest the course be reviewed. Python 2.7 seem to be going out of the system so something should be done about this
교육 기관: ye•
The course is limited to use special package - turicreate, sframe, no detailed explanation of how to install that. Packages used are very out dated