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
von Natalia Q C•
Jul 25, 2019
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!!!
Jun 13, 2016
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.
von Toma K•
Jun 11, 2019
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....
von Pablo S•
Jul 22, 2019
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.
von Xing W•
Jul 03, 2016
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.
von Eduardo R R•
Sep 23, 2015
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.
von Dmitri K•
May 27, 2016
The whole course based on some proprietary software. In general, it seems that the main goal of the course is promote that software.
Oct 13, 2016
there is no proper documentation.
at least there should be some clear instructions for first program
von Mario L•
Nov 24, 2015
I dont like the tools they used, it seems like a promotion for their company.
von Lester L•
Mar 21, 2020
Not made for Windows, you need a linux or mac VM to apply this course.
von Tim B•
Jun 04, 2019
Complete waste of time until it is written using open-source packages.
von Phillip B•
Sep 25, 2015
Would have greatly preferred if open source tools were used.
von Chandrakant M•
Sep 06, 2016
I felt that I paid for demo of the Dato/Turi.
von Nitin K•
Sep 12, 2019
Not good support to learning process.
Apr 19, 2020
This course is pretty good for beginners. All domains are explained briefly as an introduction. The best part about this course is very good hands-on sessions which are really helpful to understand concepts. The course is not very detailed but it's very good to start with. Looking forward to quality courses ahead in this specialization.
von Shibhikkiran D•
Apr 13, 2019
This is course is very informative for a beginner. It helps you to get up and running quick provided you have little basics on Python. You should( sideline on your own interest) also pickup Statistics/Math concepts along each module to make a rewarding experience as you progress through this course.
von Diogo J A P•
Feb 15, 2016
With a funny and welcoming look and feel, this course introduces machine learning through a hands-on approach, that enables the student to properly understand what ML is all about. Very nicely done!
von Karthik M•
Dec 27, 2018
A good course to understand the basics of Machine Learning. The only issue is the use of Graphlab library. Since it only works on Python 2.7, it is not convenient for people who prefer Python 3
von Alexandru B•
Jan 21, 2016
Great course. Very informative and inspirational. I got tons of ideas from it! Thank you
von Mallikarjuna R V•
Jan 17, 2019
Wonderful opportunity to learn and execute hands on coding of Machine Learning. The amazing task that Machine Learning methods and algorithms does behind scene is understood for the following cases / intelligent applications:
1. Regression (e.g. Predicting House Price etc.)
2. Classification (e.g. Product review sentiment, Spam detection, Medical diagnosis etc.)
3. Clustering and Similarity (e.g. Grouping news articles)
4. Recommender (e.g. Amazon personalized product recommendations, Netflix personalized Movie recommendations etc.)
5. Deep Learning and Deep Features (e.g. Google image search, Image-based filtering etc.)
The main challenge for me was to code using “Python3, Pandas and SciKit-Learn” instead of “Python2, GraphLab Create and SFrame”. I am now confident to develop intelligent applications based on Machine Learning. Thanks to Professors (Emily and Carlos) and to Ashok Leyland-HR for giving me this opportunity.
Jan 18, 2019
lacture was good but one point i want to share to you don't use rare tools for assignment personally i faced lots of problem while installing graphlab better to switch to some common tools like sklearn python platform .
von Yuvraj S•
Feb 01, 2019
It is a good course if we take into account the foundational part. But since only one library has been used to solve the issues, one does not explore and write their own functions.
von 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
von 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.
von 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