PD
16 de mar de 2016
I really enjoyed all the concepts and implementations I did along this course....except during the Lasso module. I found this module harder than the others but very interesting as well. Great course!
KM
4 de mai de 2020
Excellent professor. Fundamentals and math are provided as well. Very good notebooks for the assignments...it’s just that turicreate library that caused some issues, however the course deserves a 5/5
por 吴青
•6 de dez de 2017
actually good
por James H
•12 de nov de 2016
Great course
por Abhishek m
•23 de jan de 2021
nice course
por PHILIPPE R
•26 de jan de 2016
Nice course
por NIGAM P
•1 de nov de 2020
Great Job!
por Rohit K S
•30 de set de 2020
Nice One!!
por Bruno G E
•17 de abr de 2016
Awesome!
por Sorin S
•8 de mai de 2016
Great
por pavan k d
•26 de nov de 2021
good
por VIGNESHKUMAR R
•23 de ago de 2019
good
por Irfan S
•17 de out de 2017
C
por Oliverio J S J
•8 de jun de 2018
This course has interesting contents about the regression algorithms but sometimes it goes into too many mathematical details and it is easy to get lost. I'm not sure that much detail is necessary to understand what algorithms do, something else is missing to explain them intuitively. On the otThis course has interesting contents about regression algorithms but sometimes it goes into too many mathematical details and it is easy to get lost. I'm not sure that so much detail is necessary to understand what these algorithms do; more intuitive explanations are missing. On the other hand, as in the previous course, the material has not been updated to reflect that the last courses of the specialty have been canceled.This course has interesting contents about the regression algorithms but sometimes it goes into too many mathematical details and it is easy to get lost. I'm not sure that much detail is necessary to understand what algorithms do, something else is missing to explain them intuitively. On the other hand, as in the previous academic year, the material has not been updated to reflect that the last courses of the specialty have been canceled.her hand, as in the previous academic year, the material has not been updated to reflect that the last courses of the specialty have been canceled.This course has interesting contents about the regression algorithms but sometimes it goes into too many mathematical details and it is easy to get lost. I'm not sure that much detail is necessary to understand what algorithms do, something else is missing to explain them intuitively. On the other hand, as in the previous academic year, the material has not been updated to reflect that the last courses of the specialty have been canceled.
por Terry S
•18 de jul de 2016
This course offers great background instruction on Machine Learning and I would give it 5 stars except for the following:
First, there doesn't seem to be any moderation of the session discussions except for help from other students. This was worth a -2 star penalty. This and the lack of any review of linear algebra and vectorized solutions, I think, is giving some students the impression that they should be coding loops in their functions to build and solve ML models.
Next, I am auditing the course, and this is the first course where I was not able to submit quizzes. Therefore, I can only guess at my solutions. This was worth a -1 star penalty.
UPDATE: not being able to submit quizzes is a "feature" of the new Coursera platform. I never did get an answer from the discussion forums, but I see the same problem in other Coursera courses I am taking.
However, I still think the course is worth taking, so I added back a star. This is the second ML course I have taken. The first was from Stanford ML course which was very specific to implementation in the Octave language. I got a lot more background information from this course, and I think it is well taught. Just wish there were more moderators that were actively watching the discussion list.
por Gabriele P
•16 de abr de 2019
The program is well structured, the lessons are interesting and the hands on nice. However, the instructor should really consider to update their material to python 3 + turicreate. Python 2 is reaching EOL in 2020 and should be avoided for teaching/training. I did most of my notebooks with python 3 and turicreate, it is really worth the effort to update the material. The tests are ok, but some looked somewhat buggy (as reported in the forum by many users) and could use a revision
por Rosen S
•11 de jun de 2021
Good topics and well enough explained, I really did learn a bit. But getting through the course is torture if you are using Sklearn (rather than using their tool TuriCreate). The Programming Assignments use different data sets (sometimes?) and are troublesome to download. From a purely UX viewpoint, the assignments are wordy/difficult to follow along with at some points (even when the content is not so difficult)
por Ahmed S
•8 de dez de 2019
The instructors have put a lot of effort into this course and I really appreciate that but unfortunately, I was hoping that the assignments were more interactive like in the deep learning specialization and the tool used is not required at all in any job I searched for also It's not required to use it. I learned a lot out of this course but please update the tools used in this course
por Thuc D X
•18 de jun de 2019
The program assignment's description was written badly and hard to follow
For example: in week 6's assignment, the description doesn't indicate features list but ask students to compute distance between two houses. I could only find out the feature list in provided ipython notebook template for graphlab which I apparently didn't use.
por Erik P
•8 de jun de 2017
There are parts of the course which I got very very stuck on.. thankfully the forums have people's previous frustrations / questions on there. Reading these helped. Other than that, this course is the most comprehensive look at regression techniques I've taken yet, and I'm thankful that this course is provided.
por Sarah
•15 de jul de 2020
Assignments instructions are not very clear. Formulas used in assignments are structured differently then formulas in lectures. Too much emphasis on using turicreate. Not practical- companies do not ask for knowledge of turicreate. Companies ask for knowledge of scikit learn, pandas and numpy.
por Neelkanth S M
•8 de abr de 2019
The content is good but completing assignments is a real pain because they choose to deploy a unstable proprietary python library, which gives hard time installing and running (as of Q1 2019). The entire learning experience is marred by this Graphlab python library.
por VINOJ J H
•30 de jun de 2016
Passing mark is 100%, it is tough for me and demotivating to persuade further. And the course becomes too extra factors and complexity on later classes, it made me to lose the interest on the algorithm and course.
I cannot complete it because of these two factors
por Debasish P
•8 de fev de 2020
The reading sections in module 4 had incorrect assumptions because of which I could not clear exams for months. Also the queries we posted in the forums are hardly responded. I just hope coursera takes support systems as actively as the contents
por Robert S
•29 de nov de 2016
Nice explanation and nice tasks but the course is designed for graphlab. If you want to use something else the tasks are often badly described or it is impossible to pass the
por Jaime S M O
•8 de jan de 2017
The material is excelente, But I would like you to promote a little more the community. Due to, sometime is difficult to advance when you don't understand a subject.
por Yuhuan Z
•30 de jan de 2020
Great indeed, but you have to rely on the Graphlab to realize those functions. You need to figure out whether you will use Graphlab in your future studies or work.