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Advanced Machine Learning and Signal Processing, IBM



>>> 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


by A

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.

by JJ

Jan 01, 2019

Such great material. I really loved working out the notebooks. I have to go back and redo the IoT starter exercise to get better accuracy, but this was awesome!



by Euripedes Borges de Carvalho Neto

May 20, 2019

O Curso é ótimo e apresenta muitos conceitos de Machine Learning e Processamento de sinais, mas faço uma ressalva, pois como o próprio nome diz é Avançado e o candidato precisa ter uma boa base de programação, particularmente precisei pesquisar bastante sobre Apache Spark e Systemml pois minha formação não é de TI.

by Drazdovich Marina

May 19, 2019

Blew my mind...partly )))

by Muhammad Eissa

May 08, 2019

Instructor english is very bad and the content is not clear especially the systemML section.

I am still studying the course but I fairly understand the instructor english even the subtitle has too many misspelling.

by Daniel Thompson

Apr 29, 2019

This was a nice review of my undergraduate work at Northwestern, except that we didn't have Spark back in the day. Very cool course.

by Serdar Mamiyev

Mar 22, 2019

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

by Paul Bastide

Mar 13, 2019

The PCA/FT/FFT material is awesome. The presentation is great. The assignments while not great, where a sufficient taste of watson studio.

by Paulo Renato Rodrigues

Feb 25, 2019

Excelente curso, com ótimas explicações, bem detalhadas e sem rodeios. Os exemplos são práticos e abrangentes! Parabéns à equipe do Coursera e à IBM pelo excelente curso! Nota 1000!!!

by Andreas Nagel

Feb 24, 2019

good introduction. well choosen chunks of information.

by Andrés

Feb 17, 2019

The theory is good but the excercies could be more complete and big to cover all the points in the theory

by Jukka Aho

Feb 16, 2019

Course was hard to complete due to the version problems. Instructors should update material so that the course can be done with newest versions of programs.