Uninformative, undidactic, very poorly explained. One of the worst courses I've taken.

No clarity in lectures. IBM platform set up is too complicated and confusing.

I am sorry to say, but this by far the most unimpressive course I have taken at coursera. If I just wanted someone to go through a jupyter notebook, without caring to explain much, why do I need to take a course. Compared to other excellent courses I have taken/audited at coursera, I would rate this as sub par. Worst part about this was, it sounded very incoherent. Seems like no body actually verified the content and assignments to actually make sure they are consistent.

I like very much the architecture-based approach of these courses/ specialization.

At the end, the goal of an Enterprise, in a general sense, is to satisfy the local or global community necessity in an effective and efficient way. Surreally with the choose of the correct technology, frameworks, languages, instructions, details.... but , at the end, what is really important is the value offered.

That said, I think, that this specialization, provides the mindset, the knowledge, the skills and tools applicable in a corporate environment. Technology is important, yes, but, from my point of view, it is most important to consider the value that is emerging from the holistic approach of all the topics in the different modules of the courses, including also the final capstone project.

Thank you very much Romeo and all instructors for this continuous learning professional opportunity

This course is good for people who want to learn ML as a black box, also the scaling part was really rush. I'd advice the constructors to take full sessions for apache spark and DL4J separatly. Overall i enjoyed.

Not for learning only for reference

Could not do assignments because the IBM Cloud was terribly shlow or crashed. Eventually it did load but i had to find out that my old IBM Cloud account had expired and could not be moved to the new free and unlimed offer. I need to open a new account with a different e-mail account ... Are you kidding? I'm not sure if the crashes were related to this problem but all in all this was an experience that convinced me to stay clear of the IBM cloud.

Content-wise i only did a quick scan over the material and it look like they try to do to much in to little time without any real explanations. Focus is on IBM products. If you want to learn AI, ML or DL, stay with the courses from Andrew Ng, Geoffrey Hinton, Stanford or Berley lectures on YouTube, etc. There are many free high class resources out there. This course is only useful for people that have to use IBM products.

Module sequence could have been better sequenced...

Also, when trying to troubleshoot a system error, the support of the forum was significantly lacking... I was unable to finish all but one assignments because my program just kept running... no errors.... I received no help on this...

There were several assessments that did not pertain to what the preceding content covered .

Poor andragogical approach. Some of the lectures were actually not made for this course... The course should be revised!

The certification requires additional modules that have not yet been deployed as well. This course is simply not ready.

mais propaganda dos serviços da ibm do que conteúdo... honestamente, eu fiquei mais tempo brigando com a interface do watson pra conseguir executar os notebooks na versão que os caras usam do que programando

Overall very good course with experienced instructors and a main instructor whose enthusiasm is communicative. I have two modest improvement proposals. The oil price prediction assignment could be converted in an anomaly analysis - possibly in a Pytorch setting to deepen the initial presentation of Pytorch -, perhaps a more meaningful use of deep-learning to this time series data. Week 4 is a touch light compared to weeks 2 and 3 and could be improved by an assigment illustrating feedback between the anomaly signals in the IOT framework of week 3 and the IOT setup itself. Both anomaly and feedback would be deep-learning based.

Very intuitive course, helped me learn at my own pace, given that I was not having time at a stretch. I thoroughly enjoyed learning the concept and techniques of deep learning. Some of the exams were easy but the objective was that you continue learning, whille some were tough (where I learned the most). It was overwhelming to see real IoT data flowing through and reaching to my code :). Nice!!

It looks easy but simple things are "very" hard to produce so Thanks to the whole Team.

Good rich examples, but videos are hard to understand. Some instructors talk to fast even on 0.75 video speed, other talk to slow and due to accent subtitles full of *INAUDIBLE* parts. Also it will be good if instructors will pay more attention when replying on forums. When i receive exactly same solution which i tried and it did not work, i left pretty confused

This course provides deep insights, explanations and examples on how to apply deep learning networks to machine learning problems. The course level is intermediate - you will need some basic knowledge on deep learning and some programming skills in order to get most out of this course.

The course content was very informative and very well structured. Instructors have shown their expertise while explaining the concepts and were able to connect with the learner. This helped me to complete my assignments with hands-on. Good course to sharpen your knowledge..!!

Wow, What a great course! This course really helps me understand the machine learning basis as well as the practical deployment in multiple environments and programming languages. Thanks for the lecturers and also Coursera!

Great Course. Just a point I would like to get in your notice, the course shows completion immediately after the submission of Apache SystemML assignment. There are still few lectures and one quiz after that.

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

Good course. I think practice exercises should be a little bit more challengengin. But they are fine for learning the basics of the topics that are taugh.

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

This is an excellent course in teaching me not only the deep learning principles but also practical usecases and various frameworks.

ThIs is an in depth course which while taxing has immense rewards for those who keep the faith and patience to go all the way!

Useful information course have. There are some challenges.

However, the instructor, Romeo is great!

A real Jedi master!

Good connection from the theory in Standford University: "Machine Learning" to modern day implementations of ML.

Curso muito bom! Recomendo! Parabéns principalmente ao senhor Romeo, pelo desenvolvimento do curso.

Marcus Soares

I learned how to utilize SystemML and DeepLearning4j to train different ML models on Apache Spark clusters.