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
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!
por Irfan S•
por Oliverio J S J•
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•
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•
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 Ahmed S•
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•
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•
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.
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•
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•
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•
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•
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•
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•
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.
por tim h•
Rather elementary and slow-moving for my taste. But the material is competently presented and covers the material it is advertised to cover.
por Marco P•
Missing in-lesson quiz, with all the homeworks being at the end of the week: this make following the pace quite tough
por Cameron B•
Good course content but it can be very difficult to get help if you are stuck on something.
por Mahbub A•
Course materials are well organized. It could be improved by adding more description.
por Pratyush K D•
Please show examples of codes in lectures just like the previous course
por Shreyo M•
The course lacks deep theoretical understanding of the concepts.
por Akash B•
Course should contain a project related to real life.
por Saiprasad B•
very interesting environment to learn the subject.
por Konstantin B•
Too much math...
por Deleted A•
I'm a statistician, not a programmer. There is so much detail and explanation about the statistics and concepts behind how it works, but there is hardly ever an actual lesson on the code used or needed to implement the algorithms. When trying to fumble my way through the code, I found, on several occasions, the code in the self-directed lessons to be incomplete (I'm referring to pieces of code that were obviously meant to be there, but were missing), causing hours and hours of anguish and turmoil. I feel like there should be a lot more time spent on the actual coding and learning how to implement it within the code (similar to the 1st course), rather than spending an exuberant amount of time going through derivations and no time on actual coding and how to implement it within the programming language.
If you are a software designer/engineer or programmer, then you should be fine as long as you pay attention to the very long lessons and derivations and can fix the broken code that you are given. There are other mistakes within the quizzes as well, which make them near impossible to pass. For example, it is unclear which model you need to use to calculate in order to get the correct square foot. On other occasions, the question actually specifies to use the model from (3), whereas it actually wants you to use the model from (4) instead to get the correct answer. This course needs to have better quality checks to ensure needlessly lost time is minimized.
por Peter H•
There are two frustrations with this iteration of the series. One: the quiz questions are often opaquely worded. Instead of being tested on the material just learned, it seemed like the objective was to learn to decode test questions.
2 and the most glaring omission, was that when students are asked to provide functions, only some are provided with a follow up test to ensure the function is working properly. If the output is syntactically correct but provides incorrect output then you're moving forward blindly after that. Then add the quiz questions from problem One above, and you're just wasting your time after that and building up frustration. Validating your code as you move along seems like a pretty rudimentary process to impart to students and when the teachers don't practice it themselves, there are bound to be problems.
I like the intent of the course, and considering my outsider background to computer science, the mathematics etc, I did learn a fair bit. Not enough to justify the increasing frustration I was feeling toward the end of this course. I have no intention of taking any more at this point, not from these authors.