Aug 25, 2016
excellent material! It would be nice, however, to mention some reading material, books or articles, for those interested in the details and the theories behind the concepts presented in the course.
Jan 17, 2017
Excellent course, well thought out lectures and problem sets. The programming assignments offer an appropriate amount of guidance that allows the students to work through the material on their own.
von Dmitri B•
Jun 21, 2017
Theory is cool but programming assignments requires proficient phyton knowledge. GraphLab helps but it wont be used in real life in our company :(
I found strange that often optional topics are major part of quiz, but anyway you should watch everything :)
von Dimitrios Z•
Jun 08, 2019
It has intresting theory but I believe the exercises need to be improvised. Maybe using Jupyter online and guiding the student to write code to solve the problems. In conclusion, I understood the basic theory but mostly that.
von Kayvan S•
Feb 15, 2018
Great course but I think the workload could be spread across the weeks more. Also, I had a lot of trouble with the sklearn toolkit (probably due to installation issues.).
von Piotr Ś•
Feb 15, 2017
Dependence on GraphLab technology is a big minus. The lectures are poorly balanced in terms of difficulty. Apart from that - interesting course, I'm glad I took it.
von Aayush G•
Nov 10, 2016
This specific course traded off depth and detail for breadth of topics. Too many ideas were quickly described and not really built up to my liking.
von Pavan B•
Jul 29, 2019
Few concepts were covered in hurry with lot of concepts described abruptly. It took a while for me to do research about those topics to catchup.
von Alexander S•
Aug 07, 2016
great course, but module 4 lacks a bit in structure. hard to follow. without the forum, it would not be possible to make it in time.
von Baubak G•
Jul 11, 2018
Need more details in the coarse. I think many of the topics need more working on, and are not sufficiently described.
von Valentina S•
Aug 16, 2016
Interesting content but explanations are less clear with respect to the other courses of the ML Specialization
von Michael L•
Mar 18, 2017
slightly repetitive of classification course with no real use-case value except lots of math..
von Volker H•
Jul 18, 2016
please rework in particular week 5, part 2
von Nicolas I•
Aug 31, 2016
A little too superficial and hand waving.
von Harsh A•
Jul 18, 2018
Too little "case-study" approach
von Xiaosong L•
Aug 31, 2016
the homework is getting easy
von Pan W•
Jan 03, 2017
I give 5 star for the teacher, really approach having such a well-organized teaching material.
I also give -1 star for the homework assignment and its (almost) GraphLab only approach. Yes, it mentioned "alternative" approach (which is much more popular than GraphLab), but there are many bugs & trivial difficulties to get it through. With scikit-learn as a great open source package, the only reason (I suspect) to choose GraphLab is commercial purpose. For me, if the homework assignment is only instructed properly for loading data into Pandas, I can finish each programming assignment within 1 hour for sure using scikit learn; but now, it takes 30 minutes and I still cannot load the data correctly. I like to get a certificate, but it is not necessary and spending too much time is a waste on my time.
Sep 23, 2017
requires use of a programming library from a company that was sold and is unmaintained. Challenging to build the environment to run the homework code on my mac pro. An AMI is provided so you can try to do the assignments on a prebuilt machine. Anyway I've found the class quite a hassle.
von SHAHAPURKAR S M•
Jun 19, 2020
Course content is good but assignments are too lengthy and directions are not clear. Also, no support has been provided for non TuriCreate users. Students face a hard time in figuring out the Scikit-Learn implementations of the functions provided in the notebooks.
von Karl S•
Oct 11, 2016
For me, this course was disappointing. Here is why: First, the level, at which the course material is presented, is very low. It might be freshman level, but certainly not more. There are many buzzwords but no real explanations. The programming assignments are only doable because most of the work has been done by the people designing the assignments. There is very little left for the students. Furthermore, the procedures, that are already given, are not very well documented. Hence, a lot of guess work is required to figure out how things should work. Furthermore, little effort has been spent to structure the procedures that are already given. Altogether, this makes doing the programming assignments very unsatisfying.
Finally, the professor presenting the materials does not take part in the discussion forums. Contrary to other courses that I have attended at Coursera, this time the discussion forum was no help at all.
von Kripakaran R•
Nov 12, 2018
I wish week4 and week5 were better. It felt so rushed, where most of the important things were covered.
Jan 04, 2017
This specialization is delayed for months now - very annoying! Don't give them money!
von Adrien L•
Feb 02, 2017
No good without the missing course and capstone projects
von Ken C•
Feb 04, 2017
Not happy about course 5 & 6 got cancelled.