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Advanced Machine Learning and Signal Processing に戻る

IBM による Advanced Machine Learning and Signal Processing の受講者のレビューおよびフィードバック

4.5
451件の評価
61件のレビュー

コースについて

>>> 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....

人気のレビュー

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.

JJ

Jan 01, 2019

Such great material. I really loved working out the notebooks. I have to go back and redo the IoT starter exercise to get better accuracy, but this was awesome!

フィルター:

Advanced Machine Learning and Signal Processing: 51 - 60 / 60 レビュー

by Björn ' H

Sep 19, 2019

The assignments are too easy, the level of coding required is not very challenging, it's just a fill-in-the blanks exercise, I don't know if I could actually do any of these things on my own with a new data set.

by Markus W

Sep 24, 2019

well explained, programming assignments are worthless.

by Filip G

Sep 27, 2019

This course is second in the IBM specialization. It covers basic supervised and unsupervised ML models on a very high level with too little explanations. Especially around veryfing results and optimizing models. Metrics, crossvalidation and gridsearch are all explained on cca. 10 minutes! On top I can't figure out why did the authors put in a whole week on Fourier Transformation.. :S

by Jukka A

Feb 16, 2019

Course was hard to complete due to the version problems. Instructors should update material so that the course can be done with newest versions of programs.

by Serdar M

Mar 22, 2019

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

by Sheen D

Sep 01, 2019

Seriously, the guest instructor was not clear at explaining anything. I have no idea what he's saying... even while reading subtitles, it says inaudible... from time to time.

by Tushant T

Sep 21, 2019

Too difficult

by José E H S

Jan 14, 2019

Pretty bad.

by Muhammad E

May 08, 2019

Instructor english is very bad and the content is not clear especially the systemML section.

I am still studying the course but I fairly understand the instructor english even the subtitle has too many misspelling.

by Felipe M M

Sep 19, 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.