Chevron Left
Advanced Machine Learning and Signal Processing(으)로 돌아가기

IBM의 Advanced Machine Learning and Signal Processing 학습자 리뷰 및 피드백

4.5
별점
1,048개의 평가
183개의 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

MM

Apr 29, 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.

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.

필터링 기준:

Advanced Machine Learning and Signal Processing의 181개 리뷰 중 176~181

교육 기관: Булаев С А

Aug 29, 2020

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

교육 기관: Tushant T

Sep 21, 2019

Too difficult

교육 기관: Johannes C

May 28, 2020

They force students to use the IBM Watson environment and then they cancelled the free environment; this course is just a means to force students to use Watson studio, which as far as I can tell isn't any better than Google Dataproc and Google gives people a free trial version. In fact, I think that with apache Beam and Google Dataflow, Google is the system of the future and Watson is basically a lift and shift operation where the cloud mimics the old Hadoop system.

교육 기관: 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.

교육 기관: Goce Z

May 21, 2020

not enough labs. just watching the instructors type

교육 기관: AJAY K

Jun 16, 2020

ojuweofjpskc;las,f