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 19, 2019
Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.
por Benji T•
Feb 18, 2018
Short course but i think this is the most important course out of the 3 as it is more applied. Everything in this course is new to me... , had to read the discussion for help on the quiz. Hope to appreciate what i learn after i start my deep learning project!
por Vijay A•
Dec 23, 2017
Knowing the algorithms alone doesn't help much in developing ML applications. We should be able to tackle any problem and drive our project towards the intended goal.This course provides some handy tips and tactics for the same.Well taught as usual. Cheers!!!
Sep 07, 2017
This course is very useful. The 'Simulator' is very cool. After finishing the homework, I have a better understanding on how do deal with a real project. I'm trying to solve a problem in my work, I think this skills mentioned in the course will help me a lot.
por Alexandre D•
Aug 28, 2019
It's really nice to have Andrew share his practical knowledge and experience. Paying careful attention to data distributions and doing ErrorAnalysis to learn where to focus your efforts are valuable insights. Thanks for making us all better DL practitioners.
por Jonathan L•
Dec 18, 2018
This course gives you a good understanding of how to approach deep learning projects and machine learning problems in general. After this course you should feel more comfortable understanding how to structure your projects and better optimize your time use.
por Leonard N B•
Aug 25, 2017
Andrew provided lots of information in a two-week period due to this the course feels more dense than the previous two. The quiz has also been more challenging. Overall though, it is still top notch teaching from the best. Looking forward to Course 4 and 5.
por Debojyoti D•
Mar 18, 2019
Prof.Nag and Team, had really gave immense effort to make things brain friendly. Really appreciate the effort to make this so easy going, but conceptually very high content. Recommend not to finish over night, but trick is to go slow and grasp the content.
por Ehsan M K•
Aug 23, 2017
This course is very important as it offers solutions that don't exist in literature to tackle real DL problems. Andrew Ng is basically teaching you from his vast experience. I highly recommend it esp. for those who want to design / implement DL products.
por Eiichi N•
Feb 24, 2019
I think this course covers the cases where I tend to bog down and waste time, and has provided me with useful and practical guidelines to get out of them. You should not underestimate the value of this course,
just because there is no coding assignment.
por Christopher W•
Sep 03, 2019
This course is very good at establishing the fundamentals of 'problem analysis' - something which a lot of analysts actually struggle with. I enjoyed it and found the examples helpful to think through the various steps and types of ML applications.
por Ved P G•
Apr 15, 2019
Learned a lot about dealing with datasets where training data and test data might not have the same distribution. In a practical deep learning project, a lot of decisions are strategic and this course will definitely help in making better decisions.
por Marcin G•
Oct 15, 2017
Another great course from Andrew Ng. You will learn how to manage deep learning project and get to know some clever ideas of approaching the project from managerial perspective. You will also get to know important people in deep learning community.
por Jonathan S•
Aug 18, 2018
I do not think you will find this expert advice elsewhere. And the extended scenarios which the quizzes test give the feeling that I now have real experience (although I do not) making high level decisions about guiding a machine learning project.
por Michael D•
Mar 05, 2018
An excellent overview of a rarely discussed subject. Often lost amidst the seemingly daily discoveries of new deep learning tricks is need to apply deep learning in real applications. This course did a great job of addressing the latter concern.
por Hari K M•
Jan 19, 2018
One of the key courses in the specialization besides being short and tricky. The content of this course is exactly that which differentiates between a mere programmer from a data scientist or a machine learning engineer. Do not skip this course.
por Vladimir A•
Oct 09, 2017
At the very beginning the course seemed to be about self-evident, even trivial things. Now I can't imagine it to be dropped out of the specialization.
Thank you prof. Andrew Ng, you gave us a roadmap to move and saved from many blunders on the way.
por Vishal V•
Oct 11, 2018
A very insightful course detailing the problems encountered in a real-life deep learning pipeline. The solutions were very intuitively explained and the case study approach reinforced the concepts. The heroes interviews too were very interesting.
por Serhii K•
Sep 21, 2017
This course give a lot of insights about approaching a machine learning problem. It doesn't contain a lot of concepts or algorithms regarding ML itself, but the course will be very helpful for anyone interested in working on real life ML systems.
por Florian B•
Sep 25, 2019
Very helpful to get an understanding of how to structure a machine learning project. Furthermore it is a great guide to get a first intuition on where to spend time or fix errors in a machine learning project and where to go on fast. Great work!
por Laure G•
Aug 09, 2018
Ce cours donne des clés sur comment améliorer son réseau de neurones et en particulier éviter de perdre son temps à chercher dans la mauvaise direction.
Je n'ai pas encore mis en oeuvre cela, mais je pense que cela sera très utile le temps venu.
por Luam C T•
Nov 02, 2017
It's an amazing course for people without ML experience overall. But if you have some experience (deep learning or not), you'll find a lot of basic tricks that you probably already used or figured out intuitively as you worked on some projects.
por Doipayan R•
Nov 01, 2019
One of the most helpful 8 to 10 hours of instruction I have ever received in my life. Thanks a lot Andrew, and the entire team for putting this together. I will recommend this course to all my friends and colleagues working in the AI/ML space.
por Sayar B•
Jul 30, 2018
Perhaps the most important course out of the 5 courses, Professor Ng explains really important concepts often overlooked by a lot of machine learning/ deep learning tutorials. This course will really make your good algorithms great.
por Gabriel S•
Jul 11, 2018
the question on synthetic fog, I would love to know if someone answered to this one right from the first time. It is a designed trap to see if we are just listening to the class and applying or if we really think and work hard on each question
por Mahmoud H S•
Jul 25, 2019
this is the greatest course I have ever seen in machine learning and deep learning. it gives students the best practice for applying machine learning in real projects and gain a lot of experience from one of the best machine learning experts.