Assessing Your Data Readiness for Machine Learning

Robbie Allen
Jul 9, 2018 · 9 min read

1. The data is not accessible

Programmatic Accessibility


2. The data is not sizeable

3. The data is not useable

4. The data is not understandable

5. The data is not maintainable

Machine Learning in Practice

Practical insights for executives, managers, and project managers eager to deploy machine learning inside their company.

Robbie Allen

Written by

CEO @InfiniaML, Exec Chairman @Ainsights, Lecturer at @kenanflagler, Ph.D. Student @UNCCS, Writing a book: http://machinelearninginpractice.com

Machine Learning in Practice

Practical insights for executives, managers, and project managers eager to deploy machine learning inside their company.