AIoT - DSP meets AI

AIoT - DSP meets AI (1 day)

Sensors, machine-to-machine, and network data will play a leading role in analytics as the Internet of Things becomes a reality. In this course you will get an introduction to the most important methodologies, algorithms and ideas in IoT Analytics. You will learn to access sensor-based data sources, understand the fundamentals of digital signal processing, realize the importance of smart feature engineering, and use advanced methodologies to uncover underlying patterns or concepts contained in IoT data streams.

The theoretical topics of the training will be intensified by hands-on exercises, based on real-world IoT datasets. By default, all exercises are performed with Python (if you prefer another programming language, you are welcome to contact us).

Course Outline

  • IoT fundamentals
  • Sensor data acquisition
  • Introduction to digital signal processing
  • Feature engineering
  • Machine Learning fundamentals
  • Model training, assessment, and comparison
  • Model deployment
  • IoT Analytics – applications and use cases

Who should attend

Data Scientists, signal processing engineers, statisticians, mathematicians, computer scientist and information technology professionals who need to get started with Digital Signal Processing & Machine Learning and want to make better use of their data.

Did not find the training you are looking for? Please feel free to ask for any other Advanced Analytics training.

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