1 min readfrom Towards Data Science

Estimating from No Data: Deriving a Continuous Score from Categories

Estimating from No Data: Deriving a Continuous Score from Categories

A walkthrough of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training

The post Estimating from No Data: Deriving a Continuous Score from Categories appeared first on Towards Data Science.

Want to read more?

Check out the full article on the original site

View original article

Tagged with

#categorical labelling
#low-capacity networks
#fine-grained scoring
#continuous score
#no data
#machine learning
#networks
#scoring
#training
#labelling
#data science
#mathematics
#deriving
#estimating
#models
#algorithms
#artificial intelligence
#deep learning
#data