Data Digest: Explaining, Streamlining, and Selecting Machine Learning Models | Transforming Data with Intelligence – TDWI

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.

Read more at Information Age

Simplifying Machine Learning Models

Factor analysis can help you remove unnecessary variables from your machine learning models.

Read more at Information Week

When Less Complex Is More Useful

Deep learning models are very impressive, but for many use cases, simpler models are more effective.

Read more at Forbes

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