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Advanced Machine Learning and Signal Processing(으)로 돌아가기

IBM의 Advanced Machine Learning and Signal Processing 학습자 리뷰 및 피드백

4.5
628개의 평가
96개의 리뷰

강좌 소개

>>> 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 ibm.biz/badging....

최상위 리뷰

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.

PS

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!!!!!

필터링 기준:

Advanced Machine Learning and Signal Processing의 95개 리뷰 중 26~50

교육 기관: Khawar A A

Jan 27, 2019

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

교육 기관: Michael S

Jul 19, 2019

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

교육 기관: Giovani F M

Jan 02, 2020

Great course.

I really enjoyed the approach about FFT and Wavelet.

교육 기관: Julien P

Sep 13, 2019

Very happy about the content and the emphasis on applications!

교육 기관: Nafih A A

Dec 31, 2019

A bit tough for a beginner but nonetheless very informative

교육 기관: Piero A M

Jun 27, 2018

Good overview, with interesting practical examples in Python

교육 기관: Norman F

Jan 17, 2019

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

교육 기관: Andreas N

Feb 24, 2019

good introduction. well choosen chunks of information.

교육 기관: Debakanta G

Oct 24, 2019

Awesome experience of learning this coursera

교육 기관: Abdelfettah H

Dec 12, 2019

it was really helpful, thank you so much.

교육 기관: Sriram R

Mar 31, 2020

Well defined course with good concepts

교육 기관: FREDDY Y

May 31, 2019

best course to gross, even for beginer

교육 기관: Henry U

Sep 10, 2018

Concise and straight to the point.

교육 기관: Arooj A Q

Dec 18, 2018

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교육 기관: Varadharajan R

Jul 22, 2019

I enjoyed this course thoroughly

교육 기관: Y N

Dec 27, 2018

the best advanced signal course

교육 기관: Drazdovich M

May 19, 2019

Blew my mind...partly )))

교육 기관: engin C

Aug 22, 2018

Well structured course.

교육 기관: mahmut k

Jul 04, 2018

Great course from IBM!

교육 기관: Stanislaw K

Jun 26, 2018

Outstanding lectors!

교육 기관: Madan K

Dec 11, 2019

Excellent course

교육 기관: Saman S

Oct 26, 2019

that's wonderful

교육 기관: PV R K

Oct 18, 2019

very informative

교육 기관: Carlos F C d S e S

Dec 25, 2019

Great course!

교육 기관: Jérémie B

Feb 03, 2020

Good.