I came across this post which gives a method to estimate Pi by using a circle, it’s circumscribed square and (lots of) random points within said square. Booth used Stata to estimate Pi, but here’s some R code to do the same thing…

A Review of the Neural History of Natural Language Processing

Deep learning has taken off because organizations of all sizes are capturing a greater variety of data and can mine bigger data, including unstructured data.  It’s not just large companies like Amazon, SAS and Google that have access to big data. It’s everywhere. Deep learning needs big data, and now we have it.

Sponsored Post.

Petros and his colleagues at DARTH have organised a workshop on Decision Modeling in R, in Toronto (Canada) — the exact dates are 5-7 December 2018.

Photo by Greg Simenoff

In August of 2003 Thomas Lumley added bquote() to R 1.8.1. This gave R and R users an explicit Lisp-style quasiquotation capability. bquote() and quasiquotation are actually quite powerful. Professor Thomas Lumley should get, and should continue to receive, a lot of credit and thanks for introducing the concept into R.

I’ve got PyData NYC 2018 in two days and rather finishing up my talk, I just realized that my source data has a silent corruption due to non-standard timestamps. Here’s how I fixed this using pandas and then uploaded the data to OmniSci.

Activity Recognition using Hierarchical Hidden Markov Models on Streaming Sensor Data