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Advanced Machine Learning and Signal Processing に戻る

IBM による Advanced Machine Learning and Signal Processing の受講者のレビューおよびフィードバック



>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area <<< This course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. We’ll learn about the fundamentals of Linear Algebra to understand how machine learning modes work. Then we introduce the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML. SparkML is making up the greatest portion of this course since scalability is key to address performance bottlenecks. We learn how to tune the models in parallel by evaluating hundreds of different parameter-combinations in parallel. We’ll continuously use a real-life example from IoT (Internet of Things), for exemplifying the different algorithms. For passing the course you are even required to create your own vibration sensor data using the accelerometer sensors in your smartphone. So you are actually working on a self-created, real dataset throughout the course. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link



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.


Advanced Machine Learning and Signal Processing: 176 - 184 / 184 レビュー

by Andrea P


I haven't got any time for doing the course, as I joined the course 1 week ago.

by Hossein A


good materials with not very good instructors and very easy assignments

by Serdar M


second star is just because I was able to finish the course

by Булаев С А


easy course. shouldn't be in advanced ml specialisation.

by Tushant T


Too difficult

by Johannes C


They force students to use the IBM Watson environment and then they cancelled the free environment; this course is just a means to force students to use Watson studio, which as far as I can tell isn't any better than Google Dataproc and Google gives people a free trial version. In fact, I think that with apache Beam and Google Dataflow, Google is the system of the future and Watson is basically a lift and shift operation where the cloud mimics the old Hadoop system.

by Felipe M M


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.

by Goce Z


not enough labs. just watching the instructors type