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

1,167 calificaciones
212 reseña

Acerca del Curso

>>> 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

28 de abr. de 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 de sep. de 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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201 - 209 de 209 revisiones para Advanced Machine Learning and Signal Processing

por Haroldo V

13 de abr. de 2021

No aporta mucho para una persona que ya está en el mundo de DS y ML

por Arman I

7 de abr. de 2021

I seriously doubt if it was "Advanced ML and Signal Processing."

por Serdar M

22 de mar. de 2019

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

por Sergei B

29 de ago. de 2020

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

por Tushant T

21 de sep. de 2019

Too difficult

por Felipe M

18 de sep. de 2019

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.

por Harsh V S

24 de mar. de 2021

Content is so incoherent and disconnected - in one video, you start covering the very basics of linear regression and then in the very next video, you go straight into coding a linear regression ml pipeline. The videos pertaining to SystemML are virtually impossible to follow!

por Goce Z

21 de may. de 2020

not enough labs. just watching the instructors type

por AJAY K

16 de jun. de 2020