Chevron Left
返回到 Advanced Machine Learning and Signal Processing

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

4.5
802 個評分
136 條評論

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

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.

篩選依據:

51 - Advanced Machine Learning and Signal Processing 的 75 個評論(共 135 個)

創建者 Sriram R

Mar 31, 2020

Well defined course with good concepts

創建者 FREDDY Y

May 31, 2019

best course to gross, even for beginer

創建者 Mohammad M A

May 13, 2020

well done! this course was amazing

創建者 Henry U

Sep 10, 2018

Concise and straight to the point.

創建者 Arooj A Q

Dec 18, 2018

I

t

s

n

o

t

o

n

l

y

t

h

e

o

r

y

b

u

t

p

r

a

c

t

I

cal

創建者 Varadharajan R

Jul 22, 2019

I enjoyed this course thoroughly

創建者 Y N

Dec 27, 2018

the best advanced signal course

創建者 Md. S I S

May 09, 2020

A great one!! learned a lot

創建者 Drazdovich M

May 19, 2019

Blew my mind...partly )))

創建者 engin C

Aug 22, 2018

Well structured course.

創建者 mahmut k

Jul 04, 2018

Great course from IBM!

創建者 Stanislaw K

Jun 26, 2018

Outstanding lectors!

創建者 Marvin L

Apr 10, 2020

it was educational

創建者 Madan K

Dec 11, 2019

Excellent course

創建者 Saman S

Oct 26, 2019

that's wonderful

創建者 Dr P R K

Oct 18, 2019

very informative

創建者 Carlos F C d S e S

Dec 25, 2019

Great course!

創建者 Warren P

May 09, 2020

Great class!

創建者 Hadhrami A G

May 06, 2020

Very Good

創建者 Jérémie B

Feb 03, 2020

Good.

創建者 Bikash R

Nov 21, 2019

Great

創建者 Ankit M

Dec 17, 2019

Good

創建者 N B

Nov 05, 2019

nice

創建者 Scott B

May 04, 2020

The information in the videos is excellent. I am actually very please by how succinct and clear the topics had been covered. My reason for giving 4 stars is because the programming assignments do not really help crystallize the new material. They may include a fraction of the concepts that are covered. It would be nice if the assignments involve stuff like the inclusion of param grids, comparing different ML algorithms, implementing PCA, etc. Also would be nice if there had been a review of the Fourier Transform material using SparkML.

創建者 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.