koaning.io

Blog of a data scientist/developer

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Posts

VI can drive me NUTS

Fri 09 November 2018

Towards Articulate Models

Thu 08 November 2018

Rephrasing the Billboard

Thu 04 October 2018

Gaussian Auto Embeddings

Wed 01 August 2018

Everyday I'm (Still) Shuffling

Sun 17 June 2018

Amdahl's Law

Thu 14 June 2018

Mean World

Sun 20 May 2018

Sushi Order Go

Sat 28 April 2018

Analysis Battle Plan for the Horde

Sun 01 April 2018

Global Fire

Sat 17 February 2018

Make Docs

Sun 28 January 2018

Generators <<- Functions

Wed 20 December 2017

Gray Coding

Mon 11 December 2017

Some Agile Maths

Sat 11 November 2017

Feed Forward Posteriors

Wed 01 November 2017

Strength, Wits and Sympy

Wed 18 October 2017

Passive Agressive Algorithms

Tue 10 October 2017

Simple Data Generation

Fri 01 September 2017

Vary Very Optimally

Tue 29 August 2017

Domain Specific Quoting

Fri 04 August 2017

The Icewind Dale Problem

Sun 16 July 2017

Shaving with a Sampled Razor

Wed 14 June 2017

Chair at a Conference

Mon 01 May 2017

Gradients as a Sampling Alternative

Sat 22 April 2017

Introducing Kadro

Mon 27 February 2017

Elimination via Inference

Sat 14 January 2017

Homogenous Autoencoder UI

Wed 14 December 2016

Bayesian $\propto$ Streaming Algorithms

Sat 19 November 2016

Avoiding (Preventing) Joins

Thu 20 October 2016

Hello DeepQ

Fri 14 October 2016

Screen Reminder

Wed 21 September 2016

Sherlock and the Dancing Men Puzzle

Mon 12 September 2016

Python Able Ton

Sun 07 August 2016

Blender Trees

Thu 28 July 2016

Twain Learning

Tue 26 July 2016

Switching to Sampling in order to Switch

Thu 14 July 2016

Fluctuating Repetition

Mon 04 July 2016

Human Entropy

Fri 20 May 2016

Economies of Warcraft

Sat 14 May 2016

Pokemon Recommendations, part 2

Thu 05 May 2016

Sparling Water for Spark(R)

Sat 23 April 2016

An Introduction to Inference

Thu 14 April 2016

Biased Randomness to Perfect Fit

Tue 12 April 2016

Mini TrueSkill Demo

Thu 24 March 2016

Fun with Asciinema

Sat 19 March 2016

Lessons from PyData Amsterdam

Tue 15 March 2016

GG Periodic Highlight

Mon 07 March 2016

H2o encoders starter

Wed 27 January 2016

Lego Minifigs = Stochastics + Profit

Tue 26 January 2016

Bayes-Means Clustering

Fri 15 January 2016

Ensemble Yourself

Thu 17 December 2015

Monopoly Simulations

Wed 09 December 2015

Canvas, Trees and Communities

Wed 25 November 2015

Custom ML in R

Thu 05 November 2015

Functional Sampling with Purrr

Tue 03 November 2015

SparkR just got better

Wed 09 September 2015

Julia for Loops

Tue 25 August 2015

Radial Basis Functions

Wed 12 August 2015

Via Plumbr, R can haz Flask

Sat 01 August 2015

Intro to Hopfield Networks

Thu 23 July 2015

Python + Blender Gif

Wed 22 July 2015

Basic Science Provisioning with Docker

Wed 17 June 2015

R got good at scraping

Thu 28 May 2015

Pokemon Recommendations, part 1

Wed 06 May 2015

Fun Datasets

Fri 01 May 2015

Giggles with egg.js

Fri 01 May 2015

Casino Gambling Simulations in R

Sat 18 April 2015

GGally: Explore all the Things

Sat 18 April 2015

Local Spark

Wed 18 March 2015

Simplest TSP Heuristic

Mon 09 February 2015

Linear Models Solving Non Linear Problems

Fri 09 January 2015

Shiny and a Usecase for <<-

Thu 18 December 2014

Variable Selection in Machine Learning

Thu 18 December 2014

Patsy Formulas from Pandas to Sklearn

Mon 17 November 2014

R/C++ rand() stenchmarks

Wed 22 October 2014

Python Cubes in Blender

Sun 27 July 2014

D3 Format Tutorial

Mon 07 July 2014

D3 as a Templating Tool

Fri 18 April 2014

Biased Mercator Maps

Mon 14 October 2013

Digital Nomad

Mon 14 October 2013

Amsterdam Housing Hacking

Fri 12 April 2013

Dynamic Scraping with Python

Sat 30 March 2013

console.lol(kittens)

Thu 17 January 2013

Word Clouds

Sun 04 November 2012

Vanity Metrics

Sun 23 September 2012

About Me ...

Sun 01 January 2012

Talks

Here's some content for some talks that I've given in the past:

Vincent D. Warmerdam Made with Pelican