Tutorials

The Quix tutorials provide you with experience of using Quix. They guide you in a step-by-step manner through a practical use case.

Each tutorial is divided into parts, so that you can leave a tutorial at a convenient point, come back to it later, and continue where you left off.

For the data scientist

• Data Science

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  Deploy a real-time data science project into a scalable self-maintained solution.

  Data Science

• Sentiment Analysis

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  Stream data from Twitter and build a sentiment analysis pipeline.

  Sentiment Analysis

For the ML engineer

• ML Predictions

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  Deploy a real-time data science project into a scalable self-maintained solution.

  ML Predictions

• ML Pipelines

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  Extract data from Quix to train your ML model in Jupyter Notebook.

  ML Pipelines

• Image Processing

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  Use ML in real-time image processing using London's 'Jam Cams'.

  Image Processing

• Event Detection

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  Build a real-time event detection pipeline.

  Event Detection

For the simulation engineer

• MATLAB and Simulink

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  Deploy real-time MATLAB transformations and Simulink models to Quix.

  MATLAB and Simulink

Need help?

If you'd like some help with a tutorial, or advice on a suitable tutorial for your use case, feel free to ask in the Quix Forum!