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Voltar para Advanced Machine Learning and Signal Processing

Advanced Machine Learning and Signal Processing, IBM

4.8
69 classificações
12 avaliações

Informações sobre o 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....

Melhores avaliações

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 IM

Jun 26, 2018

Very well structured, easy to follow/understand. This is a hot topic at the moment and helped me in my job.

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12 avaliações

por Azeezur Rahman

Oct 23, 2018

Very good course for learning, Fourier transformation explanation was the best one

por Sven

Oct 05, 2018

Very good data science specialization covering many interesting advanced technologies!

por Chan Ho Yin

Oct 03, 2018

This course covers many traditional approaches to machine learning and signal processing.

por Sameera Palipana

Sep 16, 2018

I like what's taught in the course but the questions assignments are too simple.

por Henry Udeogu

Sep 10, 2018

Concise and straight to the point.

por Akosu AondohembaMandela

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 engin Cicek

Aug 22, 2018

Well structured course.

por Edoardo Bianco

Aug 22, 2018

I like very much the architecture-based approach of these courses/ specialization.

At the end, the goal of an Enterprise, in a general sense, is to satisfy the local or global community necessity in an effective and efficient way. Surreally with the choose of the correct technology, frameworks, languages, instructions, details.... but , at the end, what is really important is the value offered.

That said, I think, that this specialization, provides the mindset, the knowledge, the skills and tools applicable in a corporate environment. Technology is important, yes, but, from my point of view, it is most important to consider the value that is emerging from the holistic approach of all the topics in the different modules of the courses, including also the final capstone project.

Thank you very much Romeo and all instructors for this continuous learning professional opportunity

por mahmut kocak

Jul 04, 2018

Great course from IBM!

por Piero Antonio Musio

Jun 27, 2018

Good overview, with interesting practical examples in Python