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8 months ago in Machine Learning By Divya

What is the fastest way to develop and deploy a machine learning system?

What are the best practices and fastest methodologies to go from a prototype to a deployed ML model in production?

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By Anuj Patel Answered 1 year ago

The fastest path is to leverage high-level frameworks and automation. Use scikit-learn for classic ML or TensorFlow/PyTorch for deep learning. Employ AutoML tools (like TPOT, Auto-sklearn, or cloud AutoML services) to automate model selection and tuning. Start with a simple baseline model and iteratively improve. Utilize pre-trained models and cloud ML platforms for rapid deployment.

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