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.
创建者 Neil O•
Dec 08, 2017
This is a unique course that provides invaluable perspective on how to direct a deep learning project. Its value is derived from understanding the performance metrics ( the data about the data) and acting in a data driven way. Anyone in charge of a deep learning project should take this class.
创建者 Mahmoud S•
Oct 23, 2019
It has the best practice tips and top secret advises for Machine learning.
It really simple and clear. I love it too much.
Especially, the exams, A lot of effort is done on it. And the instructors notice which best way to absorb this deep concepts in this course by flight simulation techniques
创建者 Charles B•
Jul 21, 2018
Covers some interesting points, particularly around introducing external data to your training set that doesn't match the distribution of the dev/test sets. Andrew Ng offers practical advice for running projects using Deep Learning techniques and how they differ from traditional approaches.
创建者 Akash B•
May 14, 2019
It teaches the decision making process whenever you're working on a real- world probelm. You should grasp all the ideas into your brain very well. I think this is very important as per in the field of deeplearning.
This course is very rare, and it provides best case scenarios to test with.
创建者 Haoxuan Q•
Jan 26, 2018
I love this course very much and I would strongly recommend this course to other DL colleague. It is truly that DL is a highly empirical process which needed to be more systematic. In this course, I have learned many methods to make DL more controllable and predictable. Nice Job! Thanks!
创建者 Pedro f•
Mar 23, 2019
In my experience with Machine learning, we usually spend more time checking the algorithm than checking the best distribution of our data. In this course, Professor Andrew teaches us the need and obligation to create a correct distribution of our data with examples from the real world.
创建者 Mohd S A•
Feb 28, 2018
Extremely helpful for a beginner so as to think like a machine learning problem solver. I think there should be more quiz added to this course with scenario like given in two quiz. I have never enjoyed any course so much by taking same quiz again and again to get better understanding.
创建者 Hiep P•
Dec 14, 2017
In the bloom of Deep Learning/Machine Learning industries, know how to build a project is more important and a priority to know what knowledges to build that project. Break the problems, take each step follow the guide and avoid common pitfalls in process, this course will satisfy you.
创建者 Elena P•
Sep 01, 2017
The case study format for quizzes was highly effective in helping me uncovering gaps in my knowledge that I didn't know were there. I would have liked to see at least one more case study per week. One per week just wasn't enough.
Overall good course with a few minor video glitches.
创建者 Carlos A B R•
Jul 22, 2019
I found this course really interesting because it gives many details on what path to follow to achieve better results not only depending on the amount of data we have but also taking into account some small details that can make a difference when starting machine learning projects.
创建者 Dharam G•
Jul 02, 2018
A very well systematic approach explained, to structure ML projects.Can be grasped and implemented by anyone, let it be a beginner or some expert.Really liked the idea of case study in quiz. (Wait ! How about extending this idea into some coding exercise ? Would be some real fun !)
创建者 Andrew M•
Oct 11, 2017
There is no coding in this course, but you learn a lot of how to design a Deep Learning Study. I learned a lot about the distribution of Training/Dev/Test sets and how to diagnose problems when a neural network is not performing as well as anticipated or if it is performing well.
创建者 Tyler K•
Aug 28, 2017
Outstanding course. Many of the points made in this course mirror the hard earned knowledge I gained back when I worked on Dynamic Rank search engine focused neural networks.
This may end up being my favourite of the 5 courses but let's see if the last two have more math first. :)
创建者 Alexios B•
Aug 20, 2017
This part of the specialization is short but it includes a lot of valuable information. Many of the tips are quite basic engineering best practices which most engineers should find natural, but some are very specific to deep learning and these are particularly useful to newcomers.
创建者 Brad M•
Aug 22, 2019
This is truly some information you'll never get in a standard class setting; this is more similar to compiling years of ML experience into short packets of advice that will guide your decisions for years to come. Extremely helpful, and recommended for all deep learning engineers.
创建者 WALEED E•
Jan 17, 2019
This course is really what any PhD would need to conduct his research in more time saving and efficient manner. It would be great if coding was accompanied (even if only running and watching results) to touch all aspects of analysis and suggested improvements could be visualized.
创建者 Karthikeyan R•
Dec 19, 2019
A great insight into how to improve the performance of the deep learning system without having to actually spend long hours/days and working on real project. Learnt a lot in improving the model's performance and where to look for the errors and how to invest time in debugging.
创建者 Douglas H H H•
Sep 22, 2017
I totally agree with your flight simulator analogy. This really helps me to learn your experience in practising machine learning knowledge; which otherwise I need to spend many years of doing "try and error"
Thank you very much for your kind sharing of your practical experience
创建者 Wade J•
Feb 26, 2018
As always, very well structured material considering the nature of the content and trying to make it understandable and make sense. I also appreciate that it is rooted in real-life experience which serves to make me pay really close attention to everything that is being said.
创建者 Zifeng K W•
Aug 22, 2017
Very refreshing to learn about also the more practical aspects of machine learning project like organising, structuring and executing the projects. The course definitely gives me more ideas now on what to do when starting a project and what to look into when facing problems.
创建者 Kai-Peter M•
Oct 28, 2019
Great course!!! The best online course I have ever taken! I enjoyed almost every day I participated in that course, really an educational treasure! It is so comprehensive and detailed at the same time. Due to the good presentation of the topics it was really understandable.
创建者 Burhan A•
Jul 22, 2019
I have learned tremendous things about machine learning projects which I feel if I have not learned and started any machine learning project than it would have taken me many months or years to complete. Now i know how I could complete my project efficiently and effectively.
创建者 Robin S•
Jan 08, 2019
I can only say that I am amazed how I much learned by just watching the few videos of this course. It is so short but still contains plenty of new information. It also helped me at work by giving me a deeper understanding of how to approach various problems. Awesome course!
创建者 Pedro J•
Aug 19, 2019
This is an excellent course and I was able to understand with clear explanation, example and practice cases on how to improve the Deep Learning workflow in order to make the right decisions on what direction the team need to take to improve the DL model. Highly recommended
创建者 kevin E•
Sep 10, 2018
I have decided to reserve 5 star ranking exclusively for Professor Andrew Ng. I did a course which was learning to learn which was quite good. A course by Prof. Andrew Ng titling "learning how to teach" would do tremendously in propelling the world of data science forward.