12 Interesting Reads for Math Geeks

Many data scientists have a passion for mathematics, and many modern math problems can be explored using data science. Below is a selection of interesting articles, many about challenging, deep mathematical problems, by a data scientist who developed math-free algorithms. Some of these articles cover statistical theory and thus belong to data science, some are just about mathematics and number theory for its own sake. Most of them can be understood by the layman. Some include R code to produce visualizations, and some include processing vast amounts of data -- trillions of data points: thus it provides an excellent sandbox to test distributed architecture implementations, and high performance computing.

Math model: Tessellation

12 Interesting Reads for Math Geeks

• Simple Proof of the Prime Number Theorem
• Fascinating Facts and Conjectures about Primes and Other Special Nu...
• Factoring Massive Numbers: Machine Learning Approach
• How and Why: Decorrelate Time Series
• Distribution of Arrival Times of Extreme Events
• The Fundamental Statistics Theorem Revisited
• 88 percent of all integers have a factor under 100
• Math Challenge: Computing the Average Rotational Speed of Earth
• Representation of Numbers as Infinite Products
• A Beautiful Probability Theorem
• Mars Craters: An Interesting Stochastic Geometry Problem
• The art and (data) science of leveraging economic bubbles
• Seasons in Binary Star Planetary Systems

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