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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.
2676 - 机器学习基础：案例研究 的 2700 個評論（共 2,856 個）
創建者 Iker U
•This course presents an overview of different machine learning tools but I rather prefer starting from the second course were more specific competencies are given. I believe that in courses like this the contents are to sparse.
It would serve as an introduction. But the contents of week 4 and 5 are not even in the specialization!
創建者 Bryan D
•The course teaches a a lot of information and explains everything from a beginners POV which is great. I only have 2 issues with this course, the use of proprietary software instead of all open source software and NO CONTINUED SUPPORT for about 3 years since the course has been out. Either update the specialization or cancel it.
創建者 Paulius J
•Wanted a course on ML. Could not find anything except this. Therefore decided to take it. However not so sure Turi Create/Graphlab is the best option (had installing issues as a Python beginer). Was it worth to use it instead of Scikit learn? Also I would expect closer connection between quiz tasks and study material.
創建者 Salvador V M
•Good for start in machine learning concepts. Good because they use Jupyter Notebook an python (they use python 2, it would be better 3). But I don't like much the graphlab library for data frames. And also the quizzes are a bit difficult. You have no the whole information in the documentation to solve them.
創建者 Romain R
•The content is really good, well explained=> 5 stars, nothing to add.
Why the 3 stars then ? Graphlab. If you use the pydata stack, as it is said to be possible in every assignments, you get stuck on the quizz due to variations on data and the algorithm used, so you can't really get quite the same answers.
創建者 Vivian Y Q
•Videos were too short to go into details. Too much reliance on the package they development themselves, though I appreciated the simplicity, I don't get to learn about a lot of technical details. So you know how to run a image retrieval model without knowing what are the deep features, for example.
創建者 Troy D
•Good course, learned a lot of basics. I think this course is rather old though and getting a lot of the required software up and running required a lot of work since there are much newer versions available now. I found that I had to do a little extra to get the older packages working in Jupiter.
創建者 Aleksandar S
•The course content is great. It gives overview on what is going to be learned in details in the next courses. Considering that it is an introductory course and the fact that it utilizes the GraphLab library as tool, I believe it is overpriced compared to the other courses of the specialization.
創建者 Yaniv S
•The whole eco-system is based on Graphlab create which is not very commonly used in the industry. The "Programming assignments" are very much like the exercise done in the videos - so no real thought and effort were needed. The Deep learning part is really bad thought and bad examined.
創建者 Eric J
•The enthusiasm of the instructors was the best thing about this class. But I really wanted a more rigorous methodology - and didn't really get it here. But it was an alright introduction to machine learning but not enough if you want to know what makes the 'black box' work.
創建者 Paulo S B d O F
•Pros:
(1) Teachers know what they are talking.
(2) They are energetic and funny.
Cons:
(1) The course uses proprietary and expensive tool.
(2) The course is too simplistic.
(3) The teachers, although they know what they are talking about, they aren't very good at teaching.
創建者 Anirudh A
•Good with concepts. But would have been better if a standard library like scikit were used rather than SFrames, Turicreate and Graphlab for the sake of easing things out which actually is not very convenient for a lot of students. (atleast during the learning cycle)
創建者 David K
•I think that the course is redundant, it is to general, trying to capture to much, and using a commercial program tool that's doing to much behind the scene.
The second course in the specialization is really great though and you wont miss anything if you skip ahead
創建者 Varun J
•A lot of problems with software installations. But, the professors for this class seem to be very passionate about the course and they teach well. If not for a lot of problems faced during software installations(which is still not resolved), would have given 5 stars
創建者 Michael C
•Really just an overview of the topics to be explained in detail afterwards.
Big plus for the use of python + notebooks but otherwise, if one is interested just in the overview and not in all the specialization, maybe the Andrew NG course is more detailed.
創建者 Bernardo C
•El curso tiene mucho potencial, pero hay que afinarlo.
Pienso que los vídeos deben ser reeditados. Tienen errores y conceptos confusos. Deberían ser tan claros como para lograr tomar buenos apuntes y usarlos en las tareas. Las tareas son casi mecánicas.
創建者 Rishi H
•Content and material is good and the trainers are good. Only issue i found is course assignments are heavily dependent on Sframes and graphlab which does not work most of the times.,they should go with panda libraries which is easily accessible.
創建者 Aman S
•The worst thing about this course is graphlab. Trying to run it since last 10 days with the help of every available online resources, but in vain. There are many flaws in graphlab. I tried a hundred times to view images in graphlab, but in vain.
創建者 Juarez B
•This course introduces the key topics of Machine Learning, but the math behind the algorithms is not explained and the programming exercises are too easy. Unfortunately, it also relies heavily on graphlab instead of using open source software.
創建者 Mohit S S
•Course contet is ok. But, intructors really need to teach in a platform neutral way or some other popular library for which ample support is available. In my opinion, learning a tool which is nowhere used in te industry is not a good idea.
創建者 Tarek M s
•the course is good for starter but according to its repetition I waited more .
one star down for many useless information in lectures about Amazon products and so on.
one star down for forcing using unpopular python library .
創建者 Piyush K P
•thanks to prof and cousera for this wonderful course. I wish the programming part was taught separately from basic. I have taken the previous course which was case study approach with respect to which it was slightly tough.
創建者 Jérôme B
•The teachers are nice and the content is pretty interesting, but they keep talking about the Capstone that we actually won't do. That make me wonder if it's worth continuing, and wonder why they cancelled it eventually.
創建者 Gregory T
•This was a valuable introductory survey course. For me, the challenge came from my unfamiliarity with Python not the material. I would rate this class as "entry level" for anybody with a college-level technical degree.
創建者 Brandon P
•There were a lot of assumptions made about my math background. Terms and concepts were used that are foreign to most people and while the forums were helpful it was interesting to see that this is a common feeling.
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