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
Aug 08, 2019
Gave a good hands-on with IBM Watson studio notebooks. Also a good overview of LSTM's, Keras, Predictive maintenance. Good stuff, keep it going
por Chandan C•
Feb 09, 2020
Exercises let me explore the topic further which was very helpful for my learning
por Sourastra N•
Jul 26, 2019
The course needs to allow the students to build their own model.
por Dmitry G•
Jul 19, 2018
Concise intro to much needed big data machine learning solutions
por Victor d O•
Jan 09, 2019
I think we need in this module more pratical assignments.
por PRASHANT K R•
Jun 07, 2018
very nice course it gives more insight to deep learning.
por Jair M•
May 22, 2019
Some videos are missing, but anyway is a great course
por Amalka W•
Dec 29, 2019
Course covers scalerble deep learning concepts
por Andrey O•
Sep 07, 2018
Part with DeepLearning4J is not very good...
por Vinayak B•
Jul 30, 2019
Really Helpful course for AI Enthusiasts
por Valerio N•
Mar 27, 2019
Very Complete course.
por Arati Y•
Apr 09, 2018
It was nice
por Tobias H•
Aug 26, 2018
por Pierre-Matthieu P•
Nov 30, 2019
I was pretty disppointed overall.
Pros : we see many types of tools and get to use some of them in the programming assignments. I feel like I now have a general knowledge of the field. I particularly liked the aspects of scaling and deploying models in production.
Cons : This honestly feels more like a rough draft than a finished and polished course. I would have liked a consolidated overview of all these tools, their pros and cons, etc. Some tools and techniques were explained in literaly 15 min(!) and in some cases simply walked through a tutorial from the tool's website (!!). A programming assignment was broken through not being updated for more recent spark versions. Some videos mentioned a non-existent programming assignment (I assume they were reused from an internal IBM training session), etc. The comparison with say Andrew Ng's course on ML is cruel.
por Jakob S•
Mar 26, 2020
The course covers some very interesting and important concepts, however on a very low level. The reason for this might simply be the lack of time; one cannot properly cover methods for AI image processing, NLP, etc. in such limited space. I also had mixed feelings about the exercises: It is very nice to see applications of the tools discussed in the lectures, but unfortunately the exercises are so simple that they can be easily finished without really understanding the code.
por 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.
por 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.
por 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.
por Francesco d C•
Nov 21, 2019
The lessons provided by Skymind were very poor.
por 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.
por 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.
por 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...
por 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.
por Armen M•
Feb 16, 2020
Interesting course with bad explanation. To many topics and to poor explanation
por HAMM,CHRISTOPHER A•
Mar 24, 2020
No pedagogy. No instruction, mostly copy and paste and guess.
por Felipe M M•
Sep 19, 2019
Videos are old. It feels like he had a bunch of material and put them together to create this course. For example: There are assignments that they give you the answer because the questions are not supposed to be there. He doesnt teach, instead, he reads a script. The assignments are not challenging and you dont feel like you learned. Horrible and painful.