Hello, I have been looking at some of the methods that have been suggested on here for designing metrics to create quantitative data from existing raw data that can be used as modeling data, suitable for, say, a neural network. However, I am not just interested in this from the perspective of designing a good neural network.
I am not exactly sure how to phrase what I'm looking for. Perhaps I need to become more familiar with the topic and come back asking questions later. However, like I said, I believe what I'm looking for is a complete reference or references to creating metrics and transforming data (putting data in alternate formats useful in sizing up performance).
Looking for a book on metrics is a fruitless venture. It seems no one is 100% clear on metrics these days.
Sabermetrics develops many supplemental ways of measuring baseball performance. What are the mathematical tricks used to create these metrics? And moreover, is there a book that covers them?
I am not exactly sure how to phrase what I'm looking for. Perhaps I need to become more familiar with the topic and come back asking questions later. However, like I said, I believe what I'm looking for is a complete reference or references to creating metrics and transforming data (putting data in alternate formats useful in sizing up performance).
Looking for a book on metrics is a fruitless venture. It seems no one is 100% clear on metrics these days.
Sabermetrics develops many supplemental ways of measuring baseball performance. What are the mathematical tricks used to create these metrics? And moreover, is there a book that covers them?