March 13, 2024, 5:30 p.m. | Mark Chang

Towards Data Science - Medium towardsdatascience.com

Layman’s guide to appreciating the concept of association

Photo by Ben White on Unsplash

Recently I’ve been working on a project that aims to screen pairs of variables in the stock market, and see how they show enough correlation potential for us to deep-dive and research further.

Throughout my research, I’ve chanced upon many different methodologies; from the humble Spearman’s/Pearson linear correlation, to the more advanced non-linear methods using Time-Delay Embeddings and even Machine Learning techniques.

And that was when …

concept correlation data science guide information information-theory market mathematics mutual-information project research show statistics stock variables view

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US