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Отзывы учащихся о курсе Advanced Machine Learning and Signal Processing от партнера IBM

Оценки: 570
Рецензии: 87

О курсе

>>> 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

Лучшие рецензии


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.


Nov 16, 2019

Great course. Finally after learning Transformation methods like Fourier and Wavelet, I finally got to learn real life problem solving capabilities of them. Learned a lot!!!!!

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26–50 из 86 отзывов о курсе Advanced Machine Learning and Signal Processing

автор: Julien P

Sep 13, 2019

Very happy about the content and the emphasis on applications!

автор: Nafih A A

Dec 31, 2019

A bit tough for a beginner but nonetheless very informative

автор: Piero A M

Jun 27, 2018

Good overview, with interesting practical examples in Python

автор: Norman F

Jan 17, 2019

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

автор: Andreas N

Feb 24, 2019

good introduction. well choosen chunks of information.

автор: Debakanta G

Oct 24, 2019

Awesome experience of learning this coursera

автор: Abdelfettah H

Dec 12, 2019

it was really helpful, thank you so much.

автор: FREDDY Y

May 31, 2019

best course to gross, even for beginer

автор: Henry U

Sep 10, 2018

Concise and straight to the point.

автор: Arooj A Q

Dec 18, 2018



























автор: Varadharajan R

Jul 22, 2019

I enjoyed this course thoroughly

автор: Y N

Dec 27, 2018

the best advanced signal course

автор: Drazdovich M

May 19, 2019

Blew my mind...partly )))

автор: engin C

Aug 22, 2018

Well structured course.

автор: mahmut k

Jul 04, 2018

Great course from IBM!

автор: Stanislaw K

Jun 26, 2018

Outstanding lectors!

автор: Madan K

Dec 11, 2019

Excellent course

автор: Saman S

Oct 26, 2019

that's wonderful

автор: PV R K

Oct 18, 2019

very informative

автор: Carlos F C d S e S

Dec 25, 2019

Great course!

автор: Bikash R

Nov 21, 2019


автор: Ankit M

Dec 17, 2019


автор: N B

Nov 05, 2019


автор: Alexander B

Nov 07, 2019

Overall a decent course. The lecturers could go into more depth with some of the topics they covered to allow the learners to really grasp the concepts. I felt all of the assignments were too simple, possibly allowing you to pass even if you don't completely understand the material. More depth in the lectures and challenging assignments would leave me completely satisfied.

автор: Euripedes B d C N

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.