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Avis et commentaires pour d'étudiants pour Advanced Machine Learning and Signal Processing par Réseau de compétences IBM

4.5
étoiles
1,189 évaluations
218 avis

À propos du cours

>>> 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....

Meilleurs avis

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.

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176 - 200 sur 215 Avis pour Advanced Machine Learning and Signal Processing

par Roger S P M

29 janv. 2019

This is the second in the Advanced certificate series. By this time you are starting to understand their teaching method. So it is a better experience than the first one. Also you are getting more experience with the studio, cloudant, and Node-RED - which is very helpful and rewarding.

par Sonja T

8 juil. 2021

Good material. Hard to understand the instructors' English. Not professionally presented. Assignments are too easy, and we didn't get good, meaningful practice. Quizzes often address information that either the instructor failed to present well, if at all, or made mistakes on.

par Mohsen F

24 déc. 2020

It is supposed to be an advanced course but there is almost no advanced topic in this course and it is just a shallow overview of machine learning with the Pyspark. SystemML explanation was very vague and incomplete.

par Nancy P

30 mai 2022

The topic is very interesting but the material is unbalanced; week 2 on supervised machine learning covers too much information in a very limited amount of time compared to week 3 on unsupervised machine learning.

par Björn ' H

19 sept. 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.

par Mike C

5 nov. 2020

Excellent brief math lectures by Manchev. The course materials do MOST of the programming for you and so you only get a light exposure to the Apache Spark API -- insufficient to develop real proficiency.

par Greg R

12 mai 2020

Overall very useful material covered however I was disappointed that some key concepts such as Baynesian inference and PCA were not well explained. I supplemented most of that material from Youtube.

par Mario R

8 août 2019

The learner needs to do more by his own. I think the course should follow up on the teaching style from the IBM specialization of Data Science. The teachers are good at replies.

par Borvorntat N

7 juil. 2020

Assignments are too easy, and not cover every lecture that I have learned for advanced ML, also some of the lectures are quite short.

par Abrar A

27 avr. 2022

T​he resources required for this course are not free therefore, not accessible for everyone who is willing to complete this course.

par Muhammad e

29 mars 2021

The weekly assignments are quite bad, and the course name ,advanced ML and signal processing, is misleading

par Anastasiia S

15 sept. 2019

Not enough programming assignments and the ones in this course are too easy for the "advanced" course

par Salvatore S

11 janv. 2020

The assignments are way too easy. Not very challenging for a course with 'advanced' in its title.

par Thiago d S B

7 juil. 2020

Some videos with low quality so it was hard to read the code and lack of pratical exercicies

par Ayushman S

18 juil. 2020

The course might need some updating, it does give a lot of information about many things.

par Venkaatesh D

6 avr. 2021

Not too sure about the application of digital signal processing in real world problems

par Riku S

7 févr. 2019

A tad too much IoT for my professional interests (was part of larger "Specialization")

par Nima

8 juin 2020

Some explanations were good but that was not enough for covering machine learning

par Mark B

17 avr. 2020

Hard to follow at times... found a lot of assistance in discussion forum

par Prashant B

29 août 2019

The spark usage is very limited. Assignments could be more challenging.

par Nicolas M

17 avr. 2020

It should be useful to introduce more practical exercises

par Markus W

23 sept. 2019

well explained, programming assignments are worthless.

par Santiago M L

28 juin 2020

It's a little bit comlicated develop the activitites

par Yu-Pei L

25 juil. 2022

Could be more clear with the instructions.

par Rama K R

3 mai 2020

assignments should be more challenging