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Opiniones y comentarios de aprendices correspondientes a Advanced Machine Learning and Signal Processing por parte de IBM

1,048 calificaciones
183 reseña

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>>> 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

Principales reseñas


Apr 29, 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.


Sep 08, 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 de 181 revisiones para Advanced Machine Learning and Signal Processing

por Ted H

Aug 21, 2019

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

por Martin P

Sep 18, 2020

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

por Akmal H

May 18, 2020

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

por Oghenekaro J O

Aug 07, 2019

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

por Khawar A A

Jan 27, 2019

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

por Michael S

Jul 19, 2019

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

por rishabh

Jun 14, 2020

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

por Giovani F M

Jan 02, 2020

Great course.

I really enjoyed the approach about FFT and Wavelet.

por Kevin R L

Apr 05, 2020

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

por Julien P

Sep 13, 2019

Very happy about the content and the emphasis on applications!

por Nafih A A

Dec 31, 2019

A bit tough for a beginner but nonetheless very informative

por Piero A M

Jun 27, 2018

Good overview, with interesting practical examples in Python

por Norman F

Jan 17, 2019

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

por Enrique C

Jul 19, 2020

The last week about Signal Processing is wonderful great!

por Alimran J

Jul 07, 2020

a good course to learn and a practice for advanced level

por Pedro R A

May 10, 2020

Great review of ML technologies and signal processing.

por Andreas N

Feb 24, 2019

good introduction. well choosen chunks of information.

por Sumant K

Aug 20, 2020

Very knowledgeable course for machine learning.

por Debakanta G

Oct 24, 2019

Awesome experience of learning this coursera

por kavita s

Aug 13, 2020

The course is very useful for my research

por Abdelfettah H

Dec 12, 2019

it was really helpful, thank you so much.

por Fernando P

Oct 14, 2020

Very interesting arguments and lessons

por PSD P

Jun 21, 2020

Very good content. I have learnt a lot

por Sriram R

Mar 31, 2020

Well defined course with good concepts


May 31, 2019

best course to gross, even for beginer