This article belongs to a series of articles about MLOps tools and practices for data and model experiment tracking. In the first part, we explained why data and model experiment tracking was important, and how tools like DVC and Mlflow could solve this challenge....
With the rise of interest and the number of machine learning projects (self-driving car, facial recognition, recommendation systems), traditional software development has shifted from hard-coded rules to data-estimated rules a.k.a. data-driven models (cf. figure 1). A...
Nowadays, diversity is the holy grail of model accuracy: deep forest is a promising framework based on deep learning layers but without neurons and back propagation. The revolutionary deep forest frameworks enable the introduction of diversity as the tip of the...
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