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學生對 IBM 提供的 Advanced Machine Learning and Signal Processing 的評價和反饋

4.5
491 個評分
70 個審閱

課程概述

>>> 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....

熱門審閱

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!!!!!

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26 - Advanced Machine Learning and Signal Processing 的 50 個評論(共 70 個)

創建者 Daniel T

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.

創建者 Drazdovich M

May 19, 2019

Blew my mind...partly )))

創建者 FREDDY Y

May 31, 2019

best course to gross, even for beginer

創建者 Michael S

Jul 19, 2019

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

創建者 Varadharajan R

Jul 22, 2019

I enjoyed this course thoroughly

創建者 Oghenekaro J O

Aug 07, 2019

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

創建者 Ted H

Aug 21, 2019

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

創建者 Sukh S S

Aug 22, 2019

The explanation of some of the black box tools like PCA, Covariance, and Fourier Transformation is amazing and very clear and easy to understand.

創建者 Julien P

Sep 13, 2019

Very happy about the content and the emphasis on applications!

創建者 Debakanta G

Oct 24, 2019

Awesome experience of learning this coursera

創建者 Saman S

Oct 26, 2019

that's wonderful

創建者 Eleni K

Nov 02, 2019

Quite different from the previous course! Much better, with more thorough explanations and hands on experience.

創建者 N B

Nov 05, 2019

nice

創建者 PV R K

Oct 18, 2019

very informative

創建者 Prithvi S

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!!!!!

創建者 Bikash R

Nov 21, 2019

Great

創建者 Zexi Z

Jan 01, 2019

fairly good. not perfectly organized but a little bit relax. good pace for workshop style training for some parts and enough details for some other parts.

創建者 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

創建者 John M

Jan 14, 2019

Great course overall. A few small wrinkles that need fixing.

創建者 Sameera P

Sep 16, 2018

I like what's taught in the course but the questions assignments are too simple.

創建者 Chan H Y

Oct 03, 2018

This course covers many traditional approaches to machine learning and signal processing.

創建者 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.

創建者 Aditya S K

Jun 27, 2019

Great learning!!!

創建者 Michael B

Jul 30, 2019

Great course overall! Personally, however, I didn't think the digital signal processing portion was as useful as the first three weeks.

創建者 Amy P

Sep 07, 2019

Very interesting concepts and more math than other courses, which was nice. The audio quality of guest lecturers needs to be improved, but I appreciated the video content and hands-on examples.