糖心vlog官网观看

I didn't find this course as useful as the previous two. I'd still recommend the course because some interesting concepts are covered. The materials seem more intuitive. The quizzes are good practices!

The course is very teaching in my uneducated opinion and will help m later in life, hopefully.

I wish the test question had been more coherent.

I enjoyed learning it, and the simulator is a great idea!

Course is great although only in one case we have pdf's with additional lecture notes. They are more useful than ppt slides therefore it would be desirable to have them in other parts of the course

The course is perfect. But it would have been better if some ways implementation was also introduced to us. But overall Andrew is really helpful to make us visualize and understand new strategies.

In this section, only strategies discussed and no programming practice. So I don't think I really understand those tricks. Maybe when I enroll in real projects, those magic will show their powers.

Very good lessons to teach the principle of how to set up a machine learning project. Lots of tricks are taught, but still hoping there could be some practical assignment to enhance the knowledge.

Videos could be shorter and better edited. Supporting materials could be better. Homework assignments were tedious and included rather confusing (and borderline tricky) questions and alternatives.

It is a useful Content to keep in mind. Not as practical as other contents in the Specialisation. But, as Andrew Ng pointed out, it is a topic many times overlooked and I'm glad it was discussed.

The course is the best available on the online education platforms so far. An excellent instructor and really engaging assignments. You get it all but it lacks availability or reading materials.

Lot of things to intake , Error analysis seemed more difficult to me compared to Bias/Variance Analysis. I think lot of practice is required to really remember and apply in real world problems.

There are some answers on the "flight simulator" that are ambiguously worded, and one that seems to flat-out contradict what Prof. Ng said in lecture. Search the discussion forums for "foggy".

Loved the course, and the simulation was great. Doing an actual transfer learning programming exercise in TensorFlow could be an awesome addition.

Best & thanks again for an awesome course!

Eric

Basic but super relevant and well structure! Things we may all know, but forget to think about... I highly recommand. The only reason why I did not give 5 stars is that it's sometime repetitive

Course was really interresting with lot of insights. I would have maybe put even more examples/cases and added more quizz to get more practical training if we apply the pilot training analogy.

Andrew Ng was great. Mu only complaint for this course is was it was a bit slow paced as per my liking and could have more hands on practice for that part. Otherwise, This course was Awesome

Great class. Homeworks don't encourage independent thought. It would be nice if the material would spell out the problems that need to be solved more clearly, before describing the solution.

That is a good course that teaches you many useful tricks in machine learning. However, some mistakes in quiz make me feel puzzled. In general, it is a good course that you should not miss.

Very good course with important topics. The Quiz 2 should be reviewed because has some inconsistencyies has mentioned in the forums. Some more pratical assignment would be also appreciated.

I was a little disappointed that this course didn't have any programming exercises. That being said, I really like how the quizzes make you think of a real world application. Great stuff!

Very good advice that is hard to find anywhere else. The quizes however have some ambiguous cases which are borderline wrong. At least they should be explained better after the completion

Interesting opinions on what strategy to take to drive ML projects forward. Here and there you must weigh in with some "numbers" that suit you/your team but it's informative, nonetheless.

The course appears to be in development and could be strengthened with programming assignments that take you through an actual mock project. Otherwise, the current content is enjoyable.

Not so much different with the materials in the Machine Learning course from Prof. Andrew Ng itself. If you don't have the time to finish the ML course, then you should take this one.

So thanks for your well-designed course. I would say that if you provide much examples or programming assignments for this course, it would definitely be more helpful for the students.