How would I go about implementing machine learning in my projects from a software engineering perspective?

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  • onnxruntime

    ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

    Idk how I would go about modeling that, but generally speaking I would recommend doing your experimentation/training in Python because most learning resources are going to be using it. Once you’ve got a working model, you can export it to something like Onnx and run inference from practically any language you want. https://onnxruntime.ai/

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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