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.
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
Quizzes could be refined since some of the questions are really confusing & need weird pre-requisite knowledge about human physiology.
By Ioannis K•
It was an interesting course for sure, but it was a bit stretched and the notions explained could be compressed in a much shorter one.
By John E M•
I appreciate the review and hints on structuring ML projects. Just seemed a little lacking on the meat and potatoes of real practice.
By Saurabh D•
Now I know what is Machine learning and its parts eg deep learning. The curse cleared the basic structure for machine learning to me.
By JEREMY S•
Interesting to understand how to manage a problem during a ML project, really good trick and tip! Thanks Andrew and deep learning.ai!
By Alhasan A•
It would be more useful to give explanation why an answer is correct and others are wrong, such details enhance our learning so much.
By aditya g•
Machine Learning Simulator & course contents well prepares you to how a machine learning project should be structured and approached
By Chee H H•
Probably the least exciting of the five. This is a short course on how to approach machine learning projects, as the title suggests.
By Priyanka T•
I thought this course was great content wise, but needs to improve on the errata in the content (repeated video sections), and quiz.
By Bingnan L•
I think it should be useful but since I haven't got many practical experience, the course seems a little bit hard to catch up with.
By Zheng Z•
I think a little bit more programming homework can help me better understand the concepts, but other than that everything is good.
By Giovanni C•
It's a good course to gain an initial understanding on the role that different real-world considerations play in Deep Learning NN.
By Daniel C K•
Good course, covering interesting topics. Seemed too easy without enough content to make you feel like you mastered the subjects.
By Prithvi M•
The course was very helpful. But I found some concepts to be repetitive. But it helped me to understand how to tackle the errors.
By Eche I•
Very good insight on how to approach machine learning projects and the kind of things to look out for and tackle as they appear.
By Hristo B•
It gives guidance on how not to waste your team's time - quite valuable. There are some slight inclarities in the test questions.
By Elias F•
This course helped me understand the basic ideas behind deep learning and how to close the understanding of the previous courses.
By Caio B•
No programming exercises in this course....Programming exercises helps to fix what we've learn. Overall, very good course though
By Jesse S•
Nice "flight simulator" approach, taking students to advanced strategic decision-making directly, bypassing years of experience.
By Qian N•
I wish there were more simulations (quizs) since this course aims at improving project structuring. 2 quizs are just not enough!
By Cristhian S S•
me agrado, pero no tanto como lo demás cursos de la serie, lo debieron poner entre los otros capitulos.. :) igual estuvo genial
By Duhai A•
Rather less coding in this course. However, if you are about to embark in ML project, the advice you will get here is valuable.
By Kailash K P C•
More examples other than speech recognition and self driving car would have been useful. Multitask learning was not very clear.
By Jun W•
This course is mainly about the concepts. But it makes me know why and when I can use pre-trained models and transfer learning.
By Parth P•
This course is absolutely for who is coming out to structure the projects and research the tuning the Machine learning models.