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
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Data Science
Deploy a real-time data science project into a scalable self-maintained solution.
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Sentiment Analysis
Stream data from Twitter and build a sentiment analysis pipeline.
For the ML engineer
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ML Predictions
Deploy a real-time data science project into a scalable self-maintained solution.
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ML Pipelines
Extract data from Quix to train your ML model in Jupyter Notebook.
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Image Processing
Use ML in real-time image processing using London's 'Jam Cams'.
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Event Detection
Build a real-time event detection pipeline.
For the simulation engineer
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MATLAB and Simulink
Deploy real-time MATLAB transformations and Simulink models to Quix.
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!