Articles by Jo-fai Chow

Turning your R (or Python) models into APIs

August 9, 2015 | 0 Comments

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 | 0 Comments

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 | 0 Comments

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 | 0 Comments

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 | 0 Comments

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...]

TTTAR2: My First Shiny App with Bootstrap – #RUGSMAPS

August 26, 2014 | 0 Comments

Thing To Try After useR! part 2 (TTTAR2) Originally, this post was supposed to be a sequel to TTTAR1 about h2o machine learning. Since TTTAR1 I have been carrying out more h2o tests both locally and on the cloud with the very kind support of Nick Elprin from Domino. ... [Read more...]

Things to try after useR! – Part 1: Deep Learning with H2O

July 25, 2014 | 0 Comments

Annual R User Conference 2014The useR! 2014 conference was a mind-blowing experience. Hundreds of R enthusiasts and the beautiful UCLA campus, I am really glad that I had the chance to attend! The only problem is that, after a few days of non-stop R talks, I was (and still am) completely ... [Read more...]

rCharts Parcoords x Simpsons x Blocks

June 6, 2014 | 0 Comments

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...]

Updates on Interactive rCrimemap, rBlocks … and the Packt offer!

March 21, 2014 | 0 Comments

Testing rCrimemap as a Self-Contained Web Page I've been learning more about rMaps and rCharts since the LondonR meeting. There are many amazing things you can do with rCharts but it does take time to learn all the tweaks. For example, I just discovered that the rMaps objects (like other ... [Read more...]

The #rBlocks Experiments

March 19, 2014 | 0 Comments

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 | 0 Comments

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 | 0 Comments

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...]

Introducing CrimeMap – A Web App Powered by ShinyApps!

November 29, 2013 | 0 Comments

A few months ago I did a mini project using open crime data and R to create crime visualisations. At that time, I was already thinking about a web app using Shiny but I couldn't justify the time to develop the app and then set up a server etc. Not ... [Read more...]

R, where should I start?

March 17, 2013 | 0 Comments

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 | 0 Comments

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...]

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