MM
28 avr. 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
7 sept. 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.
par Sauraj C
•26 nov. 2019
4 Star because course is not based on project it's good to learn the theory project is important
par Fasakin O A
•20 mai 2020
The course contents are great but there is no much practical details about fourier transform.
par Srivatsan R
•1 sept. 2019
Great Online Course. Videos involving IBM Watson studio can be explained in a better way.
par Ho Y C
•2 oct. 2018
This course covers many traditional approaches to machine learning and signal processing.
par Vignesh
•27 juin 2020
A very intuitive way of learning and great to see a mixture of ML and Signal Processing
par Sameera P
•16 sept. 2018
I like what's taught in the course but the questions assignments are too simple.
par Ahin B
•15 juin 2020
I have earned good knowledge on Machine learning along with python programming.
par Kuldeep S S
•6 mai 2020
This Course is very good but programming explaination is not good.
par John M
•14 janv. 2019
Great course overall. A few small wrinkles that need fixing.
par Pratyush A 1
•18 oct. 2019
IBM Watson studio can be made more user friendly.
par Paul A
•29 sept. 2021
Well explained topics with wonderful instructors
par Camilo A S B
•11 oct. 2020
Good, I would like more programming explanation
par Estananto
•1 oct. 2020
Great videos help me to understand the topics.
par Swarupa D
•22 mai 2020
it's very helpful...Thank u Sir for guiding me
par Krishna K N
•14 avr. 2020
Programming exercises could be more difficult.
par Pragati A
•28 juin 2020
Both of the instructors were really amazing.
par Jeffrey G D
•15 janv. 2020
Great concepts, but light on application.
par BAUDRY S
•22 nov. 2019
Some spelling errors here and there
par Rich E
•25 févr. 2020
Great explanations and examples
par 俊鴻 林
•3 déc. 2019
Thank courser and teachers
par Aditya K
•27 juin 2019
Great learning!!!
par Megha S k
•12 sept. 2020
Very Good Course
par Chris E
•23 mars 2021
A good summary of machine learning, but way too quick. Only skims the surface and I doubt anyone could come away from this course with a good understanding of the material. You will know how to write the required code in Apache Spark but fundamentals are limited, so developing and iterating your models outside of the code templates will be difficult. Likely to have a lot of people creating models that they have no idea about how they actually work, or even if they do work.
par Filip G
•27 sept. 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
par Stefan T
•31 déc. 2019
I don't like giving negative reviews, but for the amount of money asked for the certification I would expect better quality of material (audio especially). I took many courses back in the day it was free to do and the quality of material was much much higher.
The course is well presented, but if you don't use IBM environment and their libraries, you will not be so happy to follow.