13 de out de 2017
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
8 de set de 2017
This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses
por Dr. S I•
24 de abr de 2022
Course was good but It became very tough, because me and other students are facing a lot of problems and errors in assignment submission. Submission of assignement is not clean as it should be. please update and remove errors we are facing during the submission of the the assignment.
por Ankur P•
30 de mar de 2019
Unsupervised learning was missing. The codes written in the lectures were not explained clearly. Some topics looked unimportant.
por James F•
13 de fev de 2018
Good overview of methods. A bit too intense at times though, may have been better to really focus on a couple of key concepts.
por Choi H•
22 de nov de 2018
por Katherine F•
28 de out de 2020
This is an incredibly dry course from the University of Michigan. In typical academic fashion, it churns out a bunch of lectures, expects you to remember the content, then throws you straight into some quite complicated problems. Half the time, these problems don't even work and you have to dive into the forums to find out how to correct mistakes that the content providers have failed to correct themselves, even several years down the line. There are iPython notebooks you can use to follow along with the lectures, but really they could do with useful information and explanation embedded within them, which is one of the main strengths of iPython notebooks and has been sorely underutilised here. If the course material were presented in a more interactive and engaging manner, the learner might be more motivated and engaged when solving assignment problems. As it is, unless you have prior knowledge or experience within the field, or a mountain load of free time, it's more an education in frustration than machine learning.
por Justin F•
26 de set de 2017
The quality of this course in the series is a far cry from that of module 1 and 2, which is a shame because this is the one that I was really looking forward to. The professor does not seem comfortable and uses a lot of extra words in his lectures which can make them confusing and rambling. Many questions on the quizzes and assignments are not covered or well explained by the material. Many assignment questions have to be explained by teaching staff on the forums because the task is not clear.
por Martin M•
10 de ago de 2020
Week 1 was great...and then it all went downhill.
Too much material cramped into 4 weeks. The lectures are monotonous and rarely go in detail and provide real world cases. yeah, the data is from the real world but just punching code without explaining it is not very instructive.
Oh yeah, and lets not forget the last time the course has been updated was in 2017 and none of the bugs that keep popping up with the code and the autograder have been fixed.
por KHADE R N•
9 de mai de 2020
First two courses of specialization were so good, but I am disappointed by this one i.e. Machine leaning. I know this course is applied but then also advice for others, this is absolutely not for beginners, because there is too much rush in this one. I didn't understand 60% of things because new concepts are taught one after another without deep understanding and mathematical concepts that how it is working.
por ALONSO A R P D A•
11 de jul de 2020
Sorry by bad writting, english is my second language, but:
Again, the videos and suggested reads are not sufficient to learn all that is needed in assingments or in real life application. Doing others courses in coursera like courses offered offered by University of Macquaire turn more clear that this course is so hard to learn because there's less things that what is actually the subject
por Gregory O•
25 de set de 2017
I was excited going into this course because the others in the series were taught well and I had learned a lot. Unfortunately, this course greatly disappointed. The lectures were dull, included a lot of mistakes, and did not cover most of what was expected during the assignments. All in all, this course was a waste of time versus just learning scikit-learn on your own.
por Shubham N•
23 de ago de 2020
Not happy & satisfied with the assignments. Whenever I tried to submit, always error occurs, mostly files does not exist. Went to forums though, but files are kept elsewhere, especially for Assignment 4. Had to specially download the file and uploaded in the project directory just to work. Need to have proper file arrangements before starting the assignment.
por Nahuel V•
3 de ago de 2020
I am not a big fan of this course. The assignments were too easy up to the last one that was too hard. There is no moderation in the forums, you can ask a question and nobody will answer.
por Subhadeep B•
20 de ago de 2020
The instructor makes me sleepy. The autograder runs outdated versions of many packages and was last updated in 2018. Although the mentors are always active in the discussions forums.
por Thomas M S•
9 de fev de 2018
I do not have the impression after this course that I have reached a level of familiarity that I will continue using the content of this course. Disappointing.
por Dror L•
25 de nov de 2017
great topic, poorly presented. material not well divided among weeks. lots of repetitions. lack of hands on practice until the very last task.
por Kale H•
31 de mai de 2020
Autograder is poor and professor is hard to listen to. You're better to just do a YouTube tutorial, like Codebasics.
por Stephen O•
25 de ago de 2020
Desperately in need of an update as much of the code is no longer up to date/broken.
por Keshav B•
2 de jan de 2020
Instructor tell the thing which are far beyond from asignments and quizes
por Mohamed R•
27 de mar de 2020
one of the worst courses i ever had
por Frank A N•
19 de nov de 2018
It was too easy
por Will W•
24 de abr de 2021
Maybe this was once a decent machine learning course, but clearly in the last several years its administrators have abandoned it, and it is now in a state of neglect. All the assignments have bugs and errors which are never fixed. There are hundreds of forum posts with students who are confused by these errors but most of them go unanswered. When a moderator does answer a post (this happens very sporadically because the course has "limited moderation" aka no one is helping students), its only to point out previous posts with work arounds to the bugs. All questions as to why these bugs aren't fixed, saving everyone untold amounts of trouble, are ignored. I don't know if anyone will see this as I suspect most reviews on this site are fake, but please do not take this course if you value your time or money, its creators no longer care about it and are using it as a money machine they can run without any effort or interaction with students. U of M should be ashamed to have their good name on this.
por Jeff S•
1 de jan de 2021
Impossible to complete the quiz and assignments without EXTENSIVE self-learning from other material. So, while the quiz and assignment forced me to find the information I needed by googling and reading and buying books, the course material itself is so high altitude as to be completely useless. I only finished because I used trial-and-error and google to pass. I learned nothing from the course, but I learned plenty from the Internet. I'm glad my company is paying for this and not me.
por Vipul S•
28 de abr de 2022
This course has only given me endless amounts of self-doubts, frustration and misery. The instructor reads some script from start to end, shows some screenshots of the code and done. Then they give us unnecessarily complex assignments. Save your money and time, stay away from this course.
por Rachit G•
30 de jul de 2020
The instructor is very very boring
por Deepalakshmi K•
19 de jun de 2019