All data has contextual messiness. How do we combine multiple kinds of data to produce understandable domain knowledge? Here multiple data in CPG retail among different categories.
Solving the messiness of food data By Jason Felger
New data sources, along with artistic product descriptions and a lack of classification standards, have dumped a mound of valuable but hard to interpret data on our doorstep. Now what? ... "
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment