Marc Hansen

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Prior distributions and the Australia principle - Statistical Modeling, Causal Inference, and Social Science

There’s an idea in philosophy called the Australia principle—I don’t know the original of this theory but here’s an example that turned up in a …

Data Science

Apache NiFi Screencasts

Big Data

Introduction to Loss Functions

The loss function is the bread and butter of modern Machine Learning; it takes your algorithm from theoretical to practical and transforms neural …

Machine Learning

A Simple Introduction to Kullback-Leibler Divergence Through Python Code

If you have been reading up on machine learning and/or deep learning, you have probably encountered Kullback-Leibler divergence [1]. It is commonly …


Introducing DataViz a data-structure visualization library for Golang

As someone who really loves solving cool problems with complex data structures, I really can’t emphasize how important data structures are to …

Computer Science

Free 5 Gallon Buckets

The most interesting fact I’ve ever learned about five gallon plastic buckets is that In the third world, they are so valuable that it would be …


Grocery Bag Trash Can

Tell me if this makes sense. Most people buy a lot of one sort of bag (garbage bags) while simultaneously throwing out lots of another kind of bag …

Rubber Bands

Living Vehicle

Sustainable Living

3 Steps to Rehab Thumb Pain from Texting

Too much texting causing you thumb pain? Learn how to treat De Quervain’s tenosynovitis before the pain starts to inhibit more than just time on your …


Making sense of the Kullback–Leibler (KL) Divergence

Anyone who has ever spent some time working with neural networks will have undoubtedly come across the <i>Kullback-Liebler</i> (KL) divergence. Often written …


Kriging Interpolation - The Prediction Is Strong in this One


Studying the Shape of Data Using Topology

The story of the “data explosion” is by now a familiar one: throughout science, engineering, commerce, and government, we are collecting and storing …

An Explanation of the Kalman Filter

In the past 3 months I've been trying to understand the Kalman Filter. I have tried to implement it, I have watched youtube tutorials, and read some …