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Learner Reviews & Feedback for Advanced Machine Learning and Signal Processing by IBM

4.5
stars
1,061 ratings
186 reviews

About the Course

>>> 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 ibm.biz/badging....

Top reviews

MM
Apr 28, 2020

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
Sep 7, 2018

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.

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51 - 75 of 184 Reviews for Advanced Machine Learning and Signal Processing

By Caroline L A

Jul 16, 2020

Excellent course!! Exceeded my expectations ! I learned a lot, thank you so much.

By Ted H

Aug 21, 2019

The Signal Processing was eye-opening as a way to extract data from sampled data.

By Martin P

Sep 18, 2020

It is such a great course. It is an advanced level course, very well explained.

By Akmal H

May 18, 2020

very nice course i depply learned about MACHINE LEARNING AND SIGNAL PROCESSING

By Oghenekaro J O

Aug 6, 2019

Great Course. You'll learn a lot about the mathematics of some key algorithms.

By Khawar A A

Jan 27, 2019

Great course. superb instructor Sir Romeo. !! I am big fan of him now. !!

By Kunal C

Nov 9, 2020

Not too challenging. The course content can be made slightly tougher

By Michael S

Jul 19, 2019

thanks a lot to my motivated, sympathic and well prepared teachers

By rishabh

Jun 14, 2020

A very good course. This will teach you a lot about Data Science.

By Giovani F M

Jan 2, 2020

Great course.

I really enjoyed the approach about FFT and Wavelet.

By Kevin R L

Apr 5, 2020

the course title is for real. its really advanced, esp in math

By Julien P

Sep 13, 2019

Very happy about the content and the emphasis on applications!

By Nafih A

Dec 31, 2019

A bit tough for a beginner but nonetheless very informative

By Piero A M

Jun 26, 2018

Good overview, with interesting practical examples in Python

By Norman F

Jan 17, 2019

Very good, only the english from guest lecture is horrible.

By Enrique C

Jul 19, 2020

The last week about Signal Processing is wonderful great!

By Alimran J

Jul 7, 2020

a good course to learn and a practice for advanced level

By Pedro R A

May 10, 2020

Great review of ML technologies and signal processing.

By Andreas N

Feb 24, 2019

good introduction. well choosen chunks of information.

By Sumant K

Aug 19, 2020

Very knowledgeable course for machine learning.

By Debakanta G

Oct 24, 2019

Awesome experience of learning this coursera

By kavita s

Aug 13, 2020

The course is very useful for my research

By Abdelfettah H

Dec 12, 2019

it was really helpful, thank you so much.

By Fernando P

Oct 14, 2020

Very interesting arguments and lessons

By PSD P

Jun 21, 2020

Very good content. I have learnt a lot