In this talk, we'll introduce you to KNIME Analytics Platform, the free and open-source data analytics software that relies on a low-code/no-code visual interface to enable professionals from any field to make sense of data. It features extensive data access & blending, wrangling, modeling, and visualization capabilities, making it comprehensive and versatile for all stages of the data science life cycle.
This talk will demonstrate how to track ML model changes using visualizations, from classical tree models to complex deep learning architectures. We will showcase XetHub (and other tools) for building these visualizations and reasoning about model changes. The talk will conclude by extending this framework for adding visual context at any stage of an ML project.
From hobbyist ML developers to pla...
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