eldr.ai | All types of AI data used together

ELDR AI is capable of handling all types of data for use in AI - meaning you can use numerical, categorical, word, sentence and paragraph data in an unlimited combination and train these inputs to link to single, multiple binary, or multiple ranked outputs.

If you don't have a specified output, ELDR AI can handle this too.

Together, this means ELDR AI can provide predictions, recommendations, insights and decision intelligence for all types of data scenarios.

As a recap:

Input Types

You can have as many inputs as you like - ELDR AI will process them all

ip : a normal numeric input value on a scale e.g. age, weight, height - a single entry that's always numeric

ipc : a category not on a scale e.g. colour, postcode, make, model, product, single word - a single entry that can be numeric or alphabetical

s : a sentence, string of words, or paragraph - words separated by a space that can contain numbers or letters in any combination

Outputs

You can have as many outputs as you like and they can be single values, binary, multiple binary or multiple ranked

op : an output that's always numerical but can be converted to numerical from alphabetical using ELDR converters

Supervised v Unsupervised learning

When we talk about Input to Output learning, we mean Supervised Learning - this is because we're telling ELDR AI what the Output is.

If we don't know what the Output is - we just have a load of Data - we don't specify an Output and we use a process in ELDR AI called Clustering.