Oct 24, 2020
I learned many things from this course. However, I think in some points it could have been instructed much better. But all in all, it is a very worthy course for the price offered. Thanks a lot!
Apr 26, 2018
It was really great learning with coursera and I loved the course. The way faculty teaches here is just awesome as they are very much clear and helped a lot while learning this coursea
par Jose L M G•
Apr 01, 2019
Lo hago, el curso es muy bueno en cuanto al uso de la plataforma watson, pero falla en explicar los fundamentos principales con animaciones, ejemplo, el curso de pytorch de udacity enseña eso muy bien. En lo demas esta bien, pero al no contar con elementos visuales de ayuda en laclase de LSTM se hace tediosa.
par Edward J•
Sep 11, 2020
Not the best of the courses. Lots of content which jumps around. There is very little practical work so I'm not sure what I have learned there. However, it does give a good overview of the possibilities. The speakers were very clear but there needed to be more engaging examples and user input opportunities.
par Jeet D•
May 12, 2018
The course is very resource heavy, i.e. it has great intuitive resources, but the learning experience was very poor. Some of the instructors were very sparse with the material contents, some just brushed over the contents without much explanation and.
The quality of the course has to be improved.
par Julián M•
Jun 16, 2020
You can learn several things from this course but you need to know Neural Networks and Deep Learning in advance. The content looks a bit disorganized but still pretty useful for day to day Deep learning implementations. Really cool the System ML integration with Keras.
par Daniel P•
Jul 10, 2018
Too much focus on IBM platform, good overview on Keras/SystemML/DL4J though, some presentations could have been better prepared and implemented. Overall an average Coursera course and not a particularly great experience to work through the material.
par Eugene N•
May 22, 2020
Something happened to the free 1CPU 4GB python environment on IBM watson studio. It is unavailable and so I had to struggle with Skills Network Labs instead. Please can this be checked?
par Nhu N•
Sep 14, 2020
This course contain very good introduction to AI and DeepLearning. Although it assumed alot of knowledge already from the students in order to follow the content effectively.
par Robert F•
Jul 04, 2020
Fairly okay course. Lectures were real hurried and high level. Had it not been for my Math and CS background I would not have gotten most of the material.
par Ceren A•
May 10, 2020
Several lectures were superficial. I feel like I need to put a lot more time on my on to understand how to build a proper neural network model.
par Michael M•
Aug 20, 2020
The programming assignments were easy. I wish it had some more difficult assignments requiring you to code your own neural networks
par Mario A C S•
Sep 16, 2020
Good course, the explanation of CNN could be better, the anomaly detection exercise it's kind out of focus
par Mark B•
Apr 17, 2020
Hard to follow ... found a lot of assistance in discussion forums
par Raqui M•
Apr 12, 2020
unfortunately the time series chapter is not complete
par Francesco d C•
Nov 21, 2019
The lessons provided by Skymind were very poor.
par Csaba P O•
Oct 01, 2019
I liked the general idea of this course, but the actual material is not as good as it could be. There are lots of inaccuracies in the material (like annoying typos and not working code examples) which should be corrected before you sell this course on Coursera.
I strongly suggest that you go through your material with someone who has pedagogy knowledge and who can assist you to improve the didactic aspects of your material.
I did this course (and the whole specialization) for the practical examples as I feel rather confident with the theoretical aspects of machine learning, but I wanted to learn how to do these things in Spark environment. At the end of the day I have got what I wanted (more or less, as the NLP part was really lousy), but if I would not have strong experience with the field, I would have been surely lost. Honestly, I would have a hard time to recommend these courses for someone who wants to learn about machine learning and not about how to do machine learning with Keras, etc. And I am sorry to say that, because, again, I liked the team, the attitude, and the technical aspects of this course.
par Eric C•
Apr 29, 2020
There was a lot of interesting content, but I was sad that the programming assignments were fairly trivial. Any point where something deep and useful could have been assigned (I was hoping to get experience or guidance on building an LSTM autoencoder, for example) we were instead given a super easy alternative that was mostly pressing [Shift]+[Enter] on a Jupyter Notebook. SystemML seemed cool, but the only thing we ever did with it was multiply some matrices, and not even on a Spark cluster. I felt like I didn't learn that much because there was no point where I really had to engage my brain.
par luca t•
May 17, 2020
Some lessons are too hard to follow because of stong foreign accents and poor grammar, so the student ends up spending most of their effotrs on tranlation. Instructors mostly go through coding notebooks quite quickly. The oil forcasting module is an example of the defects of the course: Poor language, poor presentation, 'here', 'there', 'now' are used to reference the code with no pointers, slides are borrowed from online sources and insufficient. The proposed code is a tentative time series forecating toy example with catastrophic results, not at par with any time series standard.
par Leonardo I•
Aug 28, 2019
The course is delivered at a very high level of abstraction. If you are a beginner, I wouldn't recommend this course as the explanations provided are quite vague and not so good in many instances. Justifications for the use of quite a couple of algorithms/values are not provided thus leaving the learner with a lot of "Why's"
One of the nice things about the course is that the instructor responds promptly to students' queries.
par Sheen D•
Sep 01, 2019
Again, the instructor speaks way too fast to explain anything. Even the subtitle cannot follow the instructor line by line. Frequent occurrence of inaudible words or sentence or wrong translations. When it comes to the code, never really understood what each line of codes is for...
par Hossein A•
Jun 17, 2020
Very good topic with not very good instructors. The exercises and programming assignments are too way easy and do not help in getting enough knowledge. All instructors are not native English speakers and have very strong accent and speak slowly.
par Quang A D•
May 25, 2020
It is difficult to fully understand the contents of the lesson, too many theories and not yet associated with practical problems. It's like studying in a university and for those who have more knowledge of math, not for everyone.
par Adam K•
Jul 29, 2020
A lot of the course is in python 2, assignments are not engaging and very easy. I would like to learn the latest technologies and get much more practice.
par Jorge A V•
Feb 05, 2019
Explanations are a bit rush. Would not be easy to follow if I would not have deep previous understanding on the Deeep learning topics.
Apr 02, 2020
I felt the week 3 projects could have been given separate weeks to give better time for each project.
par John W•
Sep 01, 2020
The progress through the material was good, but the delivery was quite boring.