Sep 09, 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
Oct 14, 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!!
автор: Alexey F•
May 05, 2020
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.
автор: Oscar F R P•
Aug 17, 2020
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.
автор: Mohamed L M•
Sep 18, 2020
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.
автор: Sakina F•
Mar 27, 2018
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.
автор: Marcos B•
Sep 13, 2020
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.
автор: vikram m•
Aug 26, 2019
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
автор: Claire Z•
Jul 20, 2019
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.
автор: Raymond C•
Jan 28, 2019
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.
автор: Tracy S•
Jul 31, 2017
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...
автор: Sukesh K•
Jun 14, 2020
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.
Aug 07, 2017
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.
автор: Fernanda T•
Aug 05, 2020
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.
автор: Ketan L•
Jun 04, 2018
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.
автор: Victor E•
Aug 16, 2017
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.
автор: Kareem H•
Mar 03, 2020
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
автор: Thomas B•
Jul 07, 2018
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
автор: BIRENDRA H S•
Jun 13, 2020
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
Jul 05, 2017
Know some existing machine learning functions and packages from sklearn, but really don't know how to improve prediction accuracy within each function.
автор: Matteo B•
Aug 10, 2019
Assignments are not really supported by the material provided (videos). The level is not balanced. Some bugs in the assignment code as well
автор: Berkay A•
Jul 15, 2020
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.
автор: Halil K•
Sep 27, 2019
Good content, bad teachng staff. Though the discussion forum contributors were very helpful and should be commended for their efforts.
автор: Ankur P•
Mar 30, 2019
Unsupervised learning was missing. The codes written in the lectures were not explained clearly. Some topics looked unimportant.
автор: James F•
Feb 13, 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.
автор: Om R•
Apr 26, 2020
The course is great, but need certain improvement for assignments and quizzes. The facts should be checked multiple times.