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!).
I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
por Marc v W•
This course teaches a good amount of practical skills which can help approach a problem in a way that can save a lot time. I wasn't expecting something that useful and complete. Great course.
por Luigi S•
This course may seem less technical than the others but it provides a lot of best practices that will impact your work probably more than what you have learnt from the more technical courses.
por Heyang W•
This one is especially helpful since it contain first hand tuning guide line towards different settings of DL scenario. The case study in homework reinforce what Andrew taught on the lecture.
por Samrat S•
Very insightful, its clear Andrew is sharing his personal experience with the live projects here. As i also feel i am doing lots of things similar in real life projects.. Great work Andrew Ng
por Philip L•
Great course. It help me learn about what should be the next step to take for our deep learning projects. We should have more strategic courses like this not only online, but also at school.
por Jae-Hong M•
Good approach to how to tackle machine learning problems to increase the efficiency and accuracy of implementation. Gives a lot of tips and tricks that are not usually noted in ML textbooks
por Daniel D•
I love the way Andrew goes beyond teaching the foundations of a technology and launches into how to plan projects well for success. This course was, like the others, very much worth taking.
por Gopikrishnan M•
This course tells us how to approach a machine learning project. This is very useful, especially from a beginner's perspective, since a project with huge amounts of data can be pretty scary.
por Alexis C O•
Such a great course, add more content to this course, this is very helpfull to people who never has worked in a machine learning project and also to people little experiencied in this field
por grzegorz k•
More theory and thinking about potential projects. Happy this was added into specialization because on my own I wouldn't bother spending too much time on this stuff which is very important.
por Prashant S•
Excellent course!! I had done a few AI projects in college, nothing professionally. This course is excellent. Really makes you understand how to deal with data sets in real world projects.
por Dengrong J•
This course teaches you a lot of strategies in machine learning, which potentially can save a lot of time when developing machine learning products as it helps you find the right direction!
por Bernardo H•
Concise classes, with good examples of different situations. It teaches us how to get insight from the results of our project, finding the point where the team should focus its effort next.
por Tulsi J•
This course is really awesome. I feel the same problem this project addresses. When projects get bigger, it becomes really difficult to handle them. And this course guide you to solve this.
por Ferenc F P•
This course is focused more on practical advices in order to avoid pitfalls when solving real problems. As Prof. Andrew Ng. highlighted in most courses these hints are not discussed at all.
por Rui W•
even without the coding project, I think the big pictures will help me in the future. I definitely will rewatch the guidelines many times!
Again, thanks for your insights and instructions!!!
por ANWESH B•
Extremely beneficial practical advice to get started on building machine learning projects. I can't be thankful enough to Dr. Andrew for taking time out to share his wisdom with the world.
por Roshan C•
it was a really helpful course to learn and it helped me to boost my knowledge in the era of machine learning and Deep learning. Thank you Mr Andrew Ng to provide such an excellent course.
por Scott G•
Great discussion on the practicalities of organizing your DL projects and what to do if you start running into problems. I really liked the "case study" quizzes for learning. Good stuff!
por Michael B R•
This is a course on how teams should approach machine learning project in practise. It provides a lot of great intuition and also a feel for what working with machine learning can be like.
por vikram i•
Though it did not have any coding assignment, I can not emphasize enough on how important this course is! Very insightful and the real world examples made them really interesting to solve.
por Juan A M C•
En curso que recomiendo, lo que mayor destaco es lo simple que Andrew expone y su apertura para contar las mejores practicas a la hora en de llevar a delante un proyecto de deep learnign.
por juan c•
some of the questions were really hard and sounded counter intuitive to what was taught , eitherway the forums provided guidance and i gained trully important knowledge for my project UwU
por uma m r m•
definitely a great course!!! the assignments a way tougher which broadened my knowledge in deep learning. I would highly recommend this course who have completed the previous two courses.
por Jek D•
This course demystified the dev/test sets and gave me the strategies on how to select and troubleshoot the dev & test sets, how to do error analysis and how to chose appropriate actions.