I learned a bit in terms of signal processing and the theory behind that. That could have been a course by itself, but the addition of great machine learning material made it a wonderful experience.
A career changer course, thanks the hand-ons which is second to none, i have gained experience which on other online course can produce, thanks to IBM for this course which timely and excellent.
A very intuitive way of learning and great to see a mixture of ML and Signal Processing
By Sameera P•
I like what's taught in the course but the questions assignments are too simple.
By Ahin B•
I have earned good knowledge on Machine learning along with python programming.
By Kuldeep S S•
This Course is very good but programming explaination is not good.
By John M•
Great course overall. A few small wrinkles that need fixing.
By Pratyush A 1•
IBM Watson studio can be made more user friendly.
By Paul A•
Well explained topics with wonderful instructors
By Camilo A S B•
Good, I would like more programming explanation
Great videos help me to understand the topics.
By Swarupa D•
it's very helpful...Thank u Sir for guiding me
By Krishna K N•
Programming exercises could be more difficult.
By Pragati A•
Both of the instructors were really amazing.
By Jeffrey G D•
Great concepts, but light on application.
By BAUDRY S•
Some spelling errors here and there
By Rich E•
Great explanations and examples
By 俊鴻 林•
Thank courser and teachers
By Aditya K•
By Megha S k•
Very Good Course
By Chris E•
A good summary of machine learning, but way too quick. Only skims the surface and I doubt anyone could come away from this course with a good understanding of the material. You will know how to write the required code in Apache Spark but fundamentals are limited, so developing and iterating your models outside of the code templates will be difficult. Likely to have a lot of people creating models that they have no idea about how they actually work, or even if they do work.
By Filip G•
This course is second in the IBM specialization. It covers basic supervised and unsupervised ML models on a very high level with too little explanations. Especially around veryfing results and optimizing models. Metrics, crossvalidation and gridsearch are all explained on cca. 10 minutes! On top I can't figure out why did the authors put in a whole week on Fourier Transformation.. :S
By Stefan T•
I don't like giving negative reviews, but for the amount of money asked for the certification I would expect better quality of material (audio especially). I took many courses back in the day it was free to do and the quality of material was much much higher.
The course is well presented, but if you don't use IBM environment and their libraries, you will not be so happy to follow.
By Jeramie G•
The information and examples presented in this course are helpful and pretty easy to follow. My only complaint is - and this is true for a lot of these online courses - the programming assignments are way too easy.
I know this isn't a full-blown college level curriculum. I feel like I retain the material better when the assignments are more challenging.
By Roger S P M•
This is the second in the Advanced certificate series. By this time you are starting to understand their teaching method. So it is a better experience than the first one. Also you are getting more experience with the studio, cloudant, and Node-RED - which is very helpful and rewarding.
By Sonja T•
Good material. Hard to understand the instructors' English. Not professionally presented. Assignments are too easy, and we didn't get good, meaningful practice. Quizzes often address information that either the instructor failed to present well, if at all, or made mistakes on.
By Mohsen F•
It is supposed to be an advanced course but there is almost no advanced topic in this course and it is just a shallow overview of machine learning with the Pyspark. SystemML explanation was very vague and incomplete.