Advanced ML & Signal Processing

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

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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