IoT Analytics Training with KNIME, Berlin - March 2017

- Berlin

KNIME is hosting a one day IoT Analytics with KNIME course during the KNIME Spring Summit in Berlin, Germany on March 14, 2017.

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 are introduced 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. All exercises are based on real-world IoT datasets.

Who should attend: Data scientists, signal processing engineers, statisticians, mathematicians, computer scientist and information technology professionals who need to get started with IoT Analytics and want to make better use of their data.

Training Content

Tuesday, March 14, 2017

Course T4: IoT Analytics with KNIME

  • IoT Analytics Introduction
  • Presentation of IoT Demo Use Case
  • Introduction to Digital Signal Processing (DSP)
  • KNIME DSP Nodes
  • Feature Engineering
  • Application of Machine Learning
  • Model Assessment & Model Comparison
  • Model Deployment
  • Q&A

Course Registration & Other Courses

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