Chevron Left
Retour à Advanced Machine Learning and Signal Processing

Avis et commentaires pour d'étudiants pour Advanced Machine Learning and Signal Processing par Réseau de compétences IBM

1,189 évaluations
218 avis

À propos du cours

>>> 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

Meilleurs avis


28 avr. 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.


7 sept. 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.

Filtrer par :

51 - 75 sur 215 Avis pour Advanced Machine Learning and Signal Processing

par Jonathan O

18 mai 2022

I​t's a great course, brings out the clear picture of how to train machine learning models with audios

par Axel A J A

28 juin 2020

Excelente curso, e información muy concreta, aunque los ejercicios de programación se me dificultaron

par Jorge A V

28 janv. 2019

Interesting that they add signal processiong and IoT. Something usually overlooked in other courses

par Ganga V C

1 mai 2020

Course is really helpful.. Concepts have been taught very clearly along with the coding..

par Sven

5 oct. 2018

Very good data science specialization covering many interesting advanced technologies!

par Jad I

17 oct. 2020

this course is very beneficial and teaches you the proper way of machine learning!

par Azeezur R

23 oct. 2018

Very good course for learning, Fourier transformation explanation was the best one

par Caroline L A

16 juil. 2020

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

par Ted H

21 août 2019

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

par Martin P

18 sept. 2020

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

par Saurabh M

28 mai 2022

If you want to learn Signal Processing, this is the right course to guide you.

par Akmal H

18 mai 2020

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

par Oghenekaro J O

7 août 2019

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

par Khawar A A

27 janv. 2019

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

par Kunal C

9 nov. 2020

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

par Michael S

19 juil. 2019

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

par rishabh

14 juin 2020

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

par Giovani F M

2 janv. 2020

Great course.

I really enjoyed the approach about FFT and Wavelet.

par likhith k

11 déc. 2020

Advanced concepts, explained in concise and structured manner.

par Kevin R L

5 avr. 2020

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

par Julien P

13 sept. 2019

Very happy about the content and the emphasis on applications!

par Juan F P

12 juin 2021

I love this, thank you so much guys, it was really insightful

par Nafih A

31 déc. 2019

A bit tough for a beginner but nonetheless very informative

par Piero A M

27 juin 2018

Good overview, with interesting practical examples in Python

par Norman F

17 janv. 2019

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