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Advanced Machine Learning and Signal Processing, IBM

4.6
170 calificaciones
28 revisiones

Acerca de este Curso

>>> 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....

Principales revisiones

por 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.

por 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!

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30 revisiones

por Jukka Aho

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.

por Amardeep Singh

Feb 15, 2019

In general the course is excellent. However, it had a lot of information contained for a 4 week period especially week 2. I definitely learned a lot.

por Seylan Naidoo

Feb 13, 2019

I feel bad giving it such a low rating, but I have to be honest. I did not learn much from this course. There was nothing "advanced" about the machine learning, and image processing was only gone over in the final week, and it was mostly just an overview of the important topics/concepts. This course lacked the rigour and depth I was expecting. Maybe my expectations were too high. The assignments given were very simple. There should have been more interesting projects/assignments. The quality of the lecture videos was mediocre, in terms of both presentation and content. Someone can finish this course within a week, in fact just a few days, without even putting much effort into it. Overall this course lacked a coherent structure and it felt like it was put together in haste without much consideration for students.

por Riku Sarlin

Feb 07, 2019

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

por Roger Smith

Jan 30, 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.

por Jorge Abreu Vicente

Jan 28, 2019

Interesting that they add signal processiong and IoT. Something usually overlooked in other courses

por Khawar Ashfaq Ahmed

Jan 27, 2019

Great course. superb instructor Sir Romeo. !! I am big fan of him now. !!

por Norman Förster

Jan 17, 2019

Very good, only the english from guest lecture is horrible.

por John MacLeod

Jan 14, 2019

Great course overall. A few small wrinkles that need fixing.

por José Emmanuel Hernández Sánchez

Jan 14, 2019

Pretty bad.