# Categorically Variable

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## Simple School Maths Problem

A simple problem sent through to me by one of my running friends:

## satRday Cape Town: Call for Submissions

satRday Cape Town will happen on 18 February 2017 at Workshop 17, Victoria & Alfred Waterfront, Cape Town, South Africa.

## fast-neural-style: Real-Time Style Transfer

I followed up a reference to fast-neural-style from Twitter and spent a glorious hour experimenting with this code. Very cool stuff indeed. It’s documented in Perceptual Losses for Real-Time Style Transfer and Super-Resolution by Justin Johnson, Alexandre Alahi and Fei-Fei Li.

## Fitting a Statistical Distribution to Sampled Data

I’m generally not too interested in fitting analytical distributions to my data. With large enough samples (which I am normally fortunate enough to have!) I can safely assume normality for most statistics of interest.

## Talks about Bots

Seth Juarez and Matt Winkler having an informal chat about bots.

## Rafal Lukawiecki - Putting Science into the Business of Data Science

A talk by Rafal Lukawiecki at the Microsoft Machine Learning & Data Science Summit (2016).

## Edward Tufte - The Future of Data Analysis

A keynote talk by Edward Tufte at the Microsoft Machine Learning & Data Science Summit (2016). Introduction by David Smith.

## Deleting All Nodes and Relationships

Seems that I am doing this a lot: deleting my entire graph (all nodes and relationships) and rebuilding from scratch. I guess that this is part of the learning process.

## Running Cypher Queries from File on Windows

Recent packages of Neo4j for Windows do not include neo4j-shell. The Neo4j browser will only accept one statement at a time, making scripts consisting of multiple Cypher commands a problem.

## ubeR: A Package for the Uber API

Uber exposes an extensive API for interacting with their service. ubeR is a R package for working with that API which Arthur Wu and I put together during a Hackathon at iXperience.