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Advanced ML & Signal Processing

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Gain foundational knowledge of Linear Algebra and Machine Learning models, explore the scalability of SparkML and Scikit-Learn, and gain practical experience by adjusting models and analyzing vibration sensor data in a real-world IoT example.

Key AI Functions:["Machine Learning',"Signal Processing","Artificial Intelligence"]

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Description for Advanced ML & Signal Processing

Features of Course

Acquire an understanding of the fundamentals of Linear Algebra and Supervised and Unsupervised Machine Learning Models.

Investigate the scalability of SparkML, a popular Python machine learning framework, alongside Scikit-Learn.

Acquire practical experience by adjusting models in parallel and assessing a variety of parameter combinations.

Utilize machine learning algorithms to generate and analyze vibration sensor data from your smartphone in a real-world IoT example.

Level: Advanced

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On IBM provided by IBM

Duration: 32 hours (approximately)

Schedule: Flexible

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