A typical machine/deep learning pipeline begins as a series of preprocessing steps followed by experimentation/optimization and finally deployment. Each of these steps represents a challenge in the model development lifecycle. Katonic Studio provides a Pipeline Visual Editor for building AI pipelines from notebooks, Python scripts and R scripts, simplifying the conversion of multiple notebooks or scripts files into batch jobs or workflows.
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