Articles by Jo-fai Chow

Turning your R (or Python) models into APIs

August 9, 2015 | Jo-fai Chow

More and more real-world systems are relying on data science and analytical models to deliver sophisticated functionality or improved user experiences. For example, Microsoft combined the power of advanced predictive models and web services to develop the real-time voice translation feature in Skype. Facebook and Google continuously improve their deep ... [Read more...]

Turning your R (or Python) models into APIs

August 9, 2015 | Jo-fai Chow

More and more real-world systems are relying on data science and analytical models to deliver sophisticated functionality or improved user experiences. For example, Microsoft combined the power of advanced predictive models and web services to develop the real-time voice translation feature in Skype. Facebook and Google continuously improve their deep ... [Read more...]

A Decade of Premier League Football

August 7, 2015 | Jo-fai Chow

The English Premier League is BACK!Before we get over-excited, let's have a look at the past. Here is a shiny app to visualise some stats from last ten seasons. It is my first attempt at developing data-driven sports stories with R, Shiny and Shiny Dashboard. Those stories ain't new, ... [Read more...]

A Decade of Premier League Football

August 7, 2015 | Jo-fai Chow

The English Premier League is BACK!Before we get over-excited, let's have a look at the past. Here is a shiny app to visualise some stats from last ten seasons. It is my first attempt at developing data-driven sports stories with R, Shiny and Shiny Das... [Read more...]

H2O, Domino & Kaggle Quick-Start Guide and RUGSMAPS2

September 22, 2014 | Jo-fai Chow

Following up on my previous posts about H2O Deep Learning (TTTAR1) and RUGSMAPS (TTTAR2), here is a quick update on two interesting things I have been working on: a Kaggle tutorial and a new RUGSMAPS app.Short Tutorials based on a Kaggle CompetitionFirst of all, I would like to ... [Read more...]

rCharts Parcoords x Simpsons x Blocks

June 6, 2014 | Jo-fai Chow

Interactive Parallel Coordinates with Multiple ColoursFor my research project, I need a tool to visualise results from multi-objective optimisations. Below is one of my early attempts using base R and parcoord in the MASS package, I have no problem using them for publication. However, these charts are all static. For ... [Read more...]

The #rBlocks Experiments

March 19, 2014 | Jo-fai Chow

What's this ? Where should I start? OK, the story goes like this ... rBlocks: A port of #ipythonblocks to #rstats http://t.co/iMMRPCxQIN @simplystats @gvwilson @hadleywickham pic.twitter.com/6LQmN4LZWM— Ramnath Vaidyanathan (@ramnath_vaidya) March 12, 2014 Colouring #rstats df with @ramnath_vaidya #rBlocks Iris revisited http://t.co/TFDDXGK7y2 ... [Read more...]

Slidify my R journey from @matlabulous to rCrimemap

March 12, 2014 | Jo-fai Chow

My LondonR Talk Thanks to Mango Solutions (LondonR organiser), I was given the opportunity last night to talk about my mini project ‘CrimeMap’. Instead of going through all the technical details behind the scenes, I chose to talk the audience through my R journey from a noob to a heavy ... [Read more...]

CrimeMap, LondonR and a Book Review

January 22, 2014 | Jo-fai Chow

In preparation for my LondonR talk in March, I am polishing up my CrimeMap (see previous blog post here and here) in my spare time. Thanks to Chris Beeley and Packt, I won a free e-copy of Chris Beeley’s book following his great talk about Shiny web app during ... [Read more...]

R, where should I start?

March 17, 2013 | Jo-fai Chow

This is a dynamic post which I will continue to update whenever I find something new. Hope you will find the following links useful.Online Courses for Learning the R languageTry R from Code Schoole-Books for Learning the R LanguageR for Beginners ... [Read more...]

Blend what?

March 16, 2013 | Jo-fai Chow

Why?Over the years I have learned quite a few things about machine learning but I have never thought of writing them down properly. Too often I can't figure out exactly what I did when I look at my old codes. The time is NOW!More importantly, I have fa... [Read more...]

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)