Nov 23, 2017
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
Mar 08, 2018
Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!
교육 기관: Rahul K•
Jul 19, 2018
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.
교육 기관: mitch d•
May 06, 2018
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".
교육 기관: Eric v d K•
Dec 28, 2017
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!
교육 기관: Wauters S•
Aug 29, 2017
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
교육 기관: Nicolas B•
Jul 28, 2019
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.
교육 기관: Sandeep J•
Jan 30, 2018
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.
교육 기관: liubai01•
Sep 15, 2017
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.
교육 기관: Rufo S•
Sep 19, 2017
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.
교육 기관: Michael B•
Mar 12, 2018
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!
교육 기관: Vassilios V•
Feb 11, 2018
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
교육 기관: Radu I•
Oct 23, 2017
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.
교육 기관: Bryan H•
May 29, 2018
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.
교육 기관: Tri W G•
Mar 10, 2018
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.
교육 기관: Akhil•
Jun 28, 2018
A good approach to ML strategy. However, having a programming assignment to better explore results from tweaking models based on the strategies discussed in the course would be great.
교육 기관: Richard J B•
Nov 20, 2017
Developing intuition on how to structure projects in deep learning is essential to becoming effective and productive. This course is a good start for gaining that experience quickly.
교육 기관: Iver B•
Oct 22, 2018
Valuable information that is well-organized and clearly delivered. Would benefit from a larger number of shorter exercises each week to cement learning after each group of lectures.
교육 기관: vivek v•
Jun 23, 2019
This course provided an empirical approach in tackling hurdles in solving most common issues faced by data scientist in solving Machine learning problem in a very simplified manner.
교육 기관: Søren B•
Jan 29, 2018
Based on my own experience and comments on the discussion forums, I get the impression that the quizzes have a couple of errors in them that makes it impossible to achieve 100%.
교육 기관: Juan Z•
Nov 09, 2019
This course is less pratical and theoretical. I don't mean it is not helpful to me. I think this course might be helpful as guideline when I hand on the real project in future
교육 기관: annestay e•
Nov 04, 2019
very good course, but I felt like it was lacking one more week of course to get deeper knowledge about how to really get data sets and how to set them up for real applications.
교육 기관: Christian V•
Jul 18, 2019
you may think because the course is shorter will be much easier but the videos has a lot of information to process. I am excited to tried this techniques on real applications!
교육 기관: Ambrose S O O•
May 25, 2019
A good course. Provided general high level thinking and reasoning for quick problem solving, data management, multi-tasking, transfer learning, and error reduction techniques.
교육 기관: Sayantan A•
May 23, 2018
Not as exciting as the previous courses, but informative nonetheless. A section for handling imbalanced or skewed datasets would be useful, especially for multi-task learning.
교육 기관: Aleksi S•
Feb 22, 2018
Not as deep into details as the two first courses in the specialisation, but nevertheless I learnt a lot of techniques that I hope will be feasible when I work on AI projects.
교육 기관: Charles S•
Nov 29, 2017
Excellent lectures and notes as always. Great insights and clearly explained. I think we could have used a programming exercise on transfer learning at least in this section.