This blog is created to help others with understanding the rigorous mathematical derivations necessary to properly implement the numerous statistical tools out there today. Prerequisite coursework (introductory level only for all): statistics, calculus, and linear algebra. All necessary skills can be learned/reviewed freely on Khan Academy.

Central Limit Theorem The formula for the Central Limit Theorem.

Statistics

Understand with greater insight various statistical methods.

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lapply code Demonstration of the essential lapply function.

Data Science

Learn essential skills for all aspiring data scientists.

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Example of a two-layer neural network.

Machine Learning

Dive deeper into some of the various ML tools out there.

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Data Science Project Heatmap Screenshot of interactive heatmap.

Portfolio

Take a look at several past and on-going projects.

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Global view count. Heatmap of global view counts.

Blog

Join the global community in learning together.

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placeholder image 2 Self-portrait edited with neural style transfer, outside U.C. Davis’ library.

About Me

Find out more about who I am in this section.

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