Data Digest: Explaining, Streamlining, and Selecting Machine Learning Models
The benefits of understandable machine learning, using factor analysis to evaluate variables, and when to avoid deep learning.
Help Your Users Understand ML
Machine learning can no longer be a black box; its processes must be explainable.
Simplifying Machine Learning Models
Factor analysis can help you remove unnecessary variables from your machine learning models.
When Less Complex Is More Useful
Deep learning models are very impressive, but for many use cases, simpler models are more effective.
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February 23, 2021 at 04:19PM
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Data Digest: Explaining, Streamlining, and Selecting Machine Learning Models | Transforming Data with Intelligence - TDWI
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