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.
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.
By Jonathan W•
The course includes some good, basic, information on machine learning. The instructors seem to know the material well. However, the exercises and coding are based on a python package written by one of the authors that, while free to students, does not easily translate into common packages such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, and Pandas. Also, the package used only works in Python 2 (which will no longer be supported as of January 2020).
By Ron M•
I signed up for this course and began the reading and videos, but once it was time to begin interacting with the technology required (Amazon Web Services) , it appears this course is not longer supported by the instructors. Most communication on the course seems to have stopped between 1 and 2 years ago. Recent comments on the discussion forum no longer receive a response.
By Yaron K•
The Lecturers are very enthusiastic, but I was hoping for examples and assignments based on Pandas and Skikit-Learn. Instead the course examples and assignments are based on a machine learning package called Graphlab, that stopped working when it was upgraded to version 2 (there are workarounds that enable it to work locally, but clearly it isn't "enterprise ready")
By Charlotte E•
I feel like it should have been mentioned a lot clearer before starting that this was simply a course in how to use the creators library. These skills are not transferable anywhere else as I would have to pay to use them in future! Would have been a lot more useful as a how to for sci-kit and pandas.
By Sam Z•
Emily 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.
This specialization is delayed for months now - very annoying! Don't give them money!
By Iori N•
i cannot spend $4000 per year package just to learn this course. sorry i am off...
By Sarah S•
Unsufficient information for the programming assignments.
By Susan L•
Out of date. Should be retired or updated.
By Ken C•
Not happy about course 5 & 6 got cancelled.
By Brett L•
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
By Pooja M•
The course was well designed and delivered by all the trainers with the help of case study and great examples.
The forums and discussions were really useful and helpful while doing the assignments.
By Wei-Zhe Y•
另外可能是在下才疏學淺搞錯了，在一些linear regression或是logistic regression的範例中，由於案例中的dummy variable過多，造成變數之間線性相依(n維空間中有k組向量，若k > n，必然存在若干向量彼此線性相依)，直覺上有無數組解都可以達到幾近0的SSE，因此縱使結果再漂亮，對那幾個case中的參數，個人其實感到相當的疑惑。類似的困惑還有推薦系統的上課實例等。
By Hugo N M•
The course has a fundamental problem, it relies completely on a library developed by one of the instructors, which is not open source. In the end, it seems like a big opportunity of delivering a marketing campaign by the instructors then otherwise.
I definitely will not spend time and money on the other courses of this specialization.
By Igor K•
I can only infer that this course's target audience is rich pregnant women who care about shoe shopping and celebrities. Unfortunately I am none of those things and had to cringe my way through the examples, watching the videos at 2x speed.
The course itself is incredibly shallow, even for a survey course, and basically serves as an ad for one of the professors' own products -- Graphlab Create. You'll be much better off taking Andrew Ng's course, which is significantly more in depth and forces you to write your own solutions to problems instead of relying on a proprietary library.
The only reason to prefer this course is if you really dislike the idea of using matlab.
By 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!
By Dmitry V•
I'm sorry, but this is just ridiculous. I can't recommend this course to anyone. It's all about advertizing: Emily Fox can't stop but recommend Amazon services, and Carlos Guestrin does the same for his Dato's Graphlab Create, which is might be great in general, but absolutely useless in educational purposes. The practice part of every week is just a waste of the time.
I can't say "money well spent".
LIKE an advertisment!
Why not use pandas and numpy sk-learn?
Open source is more popular!
By Arun J•
not useful since the material covered lacks any rigor.
By Mike L•
Might be good for someone looking for a casual overview?
I really wanted to like this course, and was excited about the series. Very disappointing. Refunded after scoring 100% on first three weeks and watching the theory portion of week 4. I was familiar, with the subject prior to taking this course; was hoping for a deep dive.
Too many trivially short and low information density videos. Handwavy mathematics. I would have liked to get a more solid idea of the depth of the series from the first course before committing money.
Default software for the course has near-zero market penetration (per indeed.com), unless maybe you work at Apple -- not really excusable for something that purports real-world value. Yes, you can use other software, *except for the capstone*, per another reviewer: this is fatal.
Presenters just not fully prepared to lecture on the topic: the nail in the coffin was the end of the week 4 lectures on clustering: "So, at this point, you really should be able to go out there and build a really cool retrieval system for doing news article retrieval. Or any other really, really, really cool retrieval that I can't think of right now. But of course there's lots of interesting examples. So go out there and think of ideas that I can't think of right now." Really? How about: "Cut! Take two."
Many poor design choices for the presentation. Too much time spent writing things on slides that should have already been on the slides.
As of this review: no reviews on the last courses in the series, and some poor (but indicative) reviews of the other courses.
By Jakub A•
Definitely too little detail, too little math - for people with academic background this course may be confusing and, ironically, hard to understand because it tries to be "intuitive" - omitting the important details and formalities, in other words. The biggest downside is the TuriCreate library - it's not well known, uses other syntax than popular libraries like Pandas or Scikit-learn for some strange reason, and does not have impact when written on CV. I've known about 3/4 of the course beforehand and it was both not good for recalling the prior knowledge and for learning new things (I don't feel I understand anything new from this course). A big letdown overall.
By Hamid N•
I found it very annoying and unprofessional to use a different library (graphlab) in the videos and instructions than what has been asked us to use (turicreate). Making jokes and trying to seem friendly is not what (at least the only thing) that makes a course a great course. Please re-record the videos or at least add instructions as for how codes in the old library are translated in the new library. I was looking forward to finish this course but I have to cancel since I don't want to waste my time googling for each single function to find its equivalent in the new library.
By Sujith S M•
The course content is really nice however it is nearly impossible to install the turiconnect to my machine as it wont support Python Version 3.8 and i saw many people complain about the same.
I tried with Anaconda,Ubundu WSL and then i learn i need to be a programming expert to install this software and i do not think it is worth to put my whole effort just to install a software.
Atleast i would expect the instructors to give a detailed description how to install the necessary tools then it will be helpful.Hence i wont recommend this course to anyone
By SIVA S•
Faced too many issues during oncourse period.
Still feel the teaching is outdated from software point of view
Issues was started the moment the .zip files had to be extracted and to be fed in Jupiter notebook.
My suggestion to coursera: Kindly change the description of the course for Intermediate who have previous knowledge on coding, but not for Beginners.... We struggled alot.
By Winston H•
This is the most junk and worst course I have ever taken. It has been so many years, and the software recommended by the two doctors cannot be installed at all. Now the most popular numpy and pandas are not mentioned at all in the course. All the videos are related to the junk-like software. I don't know why such quality courses can still be put on the coursera platform.