Deploy Python ML Apps

The tutorial covers various methods for deploying machine learning models, including using pickle files for Python object serialization, HDF5 for large model storage, and deploying models with Scikit-learn. It also discusses model predictive control using Gecko and the benefits of deploying models on cloud platforms like Google Cloud, Azure, and AWS for scalability.

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