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.
par Ho Y C•
This course covers many traditional approaches to machine learning and signal processing.
par Vignesh K•
A very intuitive way of learning and great to see a mixture of ML and Signal Processing
par Sameera P•
I like what's taught in the course but the questions assignments are too simple.
par Ahin B•
I have earned good knowledge on Machine learning along with python programming.
par Kuldeep S S•
This Course is very good but programming explaination is not good.
par John M•
Great course overall. A few small wrinkles that need fixing.
par Pratyush A 1•
IBM Watson studio can be made more user friendly.
par Paul A•
Well explained topics with wonderful instructors
par Camilo A S B•
Good, I would like more programming explanation
Great videos help me to understand the topics.
par Swarupa D•
it's very helpful...Thank u Sir for guiding me
par Krishna K N•
Programming exercises could be more difficult.
par Pragati A•
Both of the instructors were really amazing.
par Jeffrey G D•
Great concepts, but light on application.
par BAUDRY S•
Some spelling errors here and there
par Rich E•
Great explanations and examples
par 俊鴻 林•
Thank courser and teachers
par Aditya K•
par Megha S k•
Very Good Course
par 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.
par 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
par 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.
par 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.
par 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.
par 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.