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!!
great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.
创建者 Alexey F•
I really like the main idea of this course, i.e., using sklearn lib along with basic lectures on the ML topic. So, I was expecting that we will be following the contents of text book by A.C. Müller & S. Guido. In the first two weeks it was really good. The materials of last two weeks were quite compressed.
创建者 Oscar F R P•
Its a really complex topic an though videos seem long enough to explain some ascpetcs of it, many little things go under the radar and make it difficult to understand some thing. Algo, the lectures are a bit weird since the professor sometimes stutter or changes ideas mid sentence.
创建者 Mohamed L M•
Good explanations on videos, The only problem which was really time consuming and wasting was the problems related with the assignments submission. but overall this course helped me a lot to structure machine learning fundamentals in my mind and to get a good practice out of it.
创建者 Sakina F•
The videos are way too long and very monotonous. They should be cut down and reduced. The maximum length they should be is 5-6 mins other wise they becoming distracting.
The course content is good though. Quite easy to understand but going through the videos is a chore.
创建者 Marcos B•
I think that the subjects are very advanced. There should be a more clear specifications of prerequisites for the course. I had to look for lot of help outside the materials provided for doing the activities. The course is fine if you have the apropiate skils though.
创建者 vikram m•
It's a good course, but a quick one. One needs to have a beforehand knowledge of all the algorithms as they are not discussed in details. State of the art is not mentioned. Implementation and best practices are present, along with pros and cons of each algorithm
创建者 Claire Z•
The course is quite high-level. There is nothing wrong with an applied course being high-level. The material is easy to follow, the quiz is a bit challenging but the homework assignments are quite easy to pass. I prefer a course with more fundamental details.
创建者 Raymond C•
The course is too tight, just 4 weeks cannot master the machine learning. This course can splitted into 2, in order to capture more on the deep learning and unsupervised learning, which are important, but being categorized as option in the course.
创建者 Suhas A B•
Good content but too fast paced for someone without even the slightest basics on ML. The first 2 courses in the specialization did not prepare for this course. To make full use of the course get ML basics right and then maybe come here
创建者 Tracy S•
the second assignment was a little beyond what was taught in the lecture. others are fine.
big suggestion: please please have a better auto-grader. Most of my time was spending on how to battle the auto-grader instead of coding...
创建者 Rahma S E•
there is a little suggestion from me, the correction system is a bit strange when I did the test when I ran it it worked, but after submitting 0/100. But I kept trying to submit, suddenly it corrected itself and had a value.
创建者 Sukesh K•
Course is well structured, course material also is well defined and learning is excellent. Though Instructor's communication is very laidback. Should have more engagement in tone and connect with enthusiasm.
Quick tutorial-like overview. Autograder is not too verbose and as a result I spent some time struggling with debugging the code rather than figuring out how to solve machine learning related problems.
创建者 Fernanda T•
Good content and I learned a lot. However, the instructor made too many mistakes during the lectures and the assignments also have mistakes that need to be fixed by the students.
创建者 Ketan L•
Follow the course with introduction to ML with python to have descent understanding. Instructor won't be able to keep one interested for long. Exercises could have been tougher.
创建者 Victor E•
Two point: 1) you can learn a lot here, 2) imagine you are shown a hammer but never explained how to hit a nail. Two previous courses in the specialization do both.
创建者 Kareem H•
Course instrutor and materials are needed to be improved as they are very poor
Assigments\Quizes are very good and they are the mainly root cause for this rating
创建者 Thomas B•
Some very good practical advice like dummy testing or data leakage issues Some trivialities and repetitions. Python code could have been a bit better commented
创建者 BIRENDRA H S•
there should be some low level usage of sentences for a intermediate programmers,most of times it bounces up the mind ,not able to get the required concept
Know some existing machine learning functions and packages from sklearn, but really don't know how to improve prediction accuracy within each function.
创建者 Matteo B•
Assignments are not really supported by the material provided (videos). The level is not balanced. Some bugs in the assignment code as well
创建者 Berkay A•
This course seems hard and actually I did not like the syllabus so much. Assignments were so hard and there were some issues in Notebooks.
创建者 Halil K•
Good content, bad teachng staff. Though the discussion forum contributors were very helpful and should be commended for their efforts.
创建者 Ricardo R C•
I do not like this course, it has errors to be fixed, and the notebooks are not updated. Hope that in the future they can improve it