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.
- By Upside Staff
- February 23, 2021
Machine learning can no longer be a black box; its processes must be explainable.
Read more at Information Age
Factor analysis can help you remove unnecessary variables from your machine learning models.
Read more at Information Week
Deep learning models are very impressive, but for many use cases, simpler models are more effective.
Read more at Forbes