Home

Welcome to the AI-ML-DL-Playground wiki!

This is a practice project to become super-familiar with all the fundamental building blocks of AI/ML/DL in python. This is not a software distribution but rather a path to complete mastery to building/distributing AI/ML/DL applications. This is a learning project.

Assumptions:

There are numerous fantastic resources to learning AI/ML/DL. Everyone has a unique path to learning these depending on one's knowledge of the subject before embarking on the journey. What I will be documenting here is a unique set of resources that I have found/practiced and learned about AI/ML/DL.

End State:

My ultimate goal is to be able to create some Machine Learning/Deep Learning web applications end to end. This means some sort of pipeline needs to be created from initially getting the data, data transformation/processing, model training, model results presentation (visualization), model refresh, model scheduling, data refresh etc. That end state still seems pretty far from this. I will come back and update all of these.