All Posts

A review of the things I have learned from building in the open over the past year. Thoughts and reflections on what it takes to grow a project and the difficulty translating open-source success to commerical success.

Translating responsible AI principles to create VerifyML. User feedback, design decisions and architecture choices in creating our responsible AI solution.

Fairness is messy and complicated. Attempts to distil it down to a single metric is unhelpful and counter-productive. As business owners and model developers we should embrace the struggle in trying to apply fairness in artificial intelligence and data analytics models.

An exploration of markdown and HTML syntax trees. Documenting my experience creating rehype-prism-plus, a syntax highlighting plugin that creates pretty code blocks.

This post introduces Automated Market Makers, a key protocol powering decentralized exchanges.

A good project is only one part of the puzzle. Getting stars is really all about marketing and promoting it. A guide on growth hacking a Github project.

An explanation of the challenges of graph anonymisation and the difficulty of striking a balance between usefulness and anonymity. Written as a response to Singapore's TraceTogether privacy saga

Looking for a performant, out of the box template, with all the best in web technology to support your blogging needs? Checkout the Tailwind Nextjs Starter Blog template

Learn Julia by implementing Schelling's famous segregation model. You will see many similarities to Python - no types need to be specified (it's a dynamic language) and pick up some nice syntactical properties of Julia.

A revised benchmark of graphs / network computation packages featuring an updated methodology and more comprehensive testing. Find out how Networkx, igraph, graph-tool, Networkit, SNAP and lightgraphs perform

How we engineered a large scale label propagation algorithm at Cylynx

The serverless way - using Google Cloud Platform to deploy simple machine learning models via Cloud Run. A fun weekend project that analyses the twitter-verse

Tips and tricks to speed up R and plotly based web apps

Benchmark of 5 popular graph/network packages - Networkx, igraph, graph-tool, Networkit and SNAP

Technical overview of our 2nd place solution and my experience at the Binance hackathon

In this post, I explore the problem of simplifying route intersections and document some Python code that can be used to clean and visualize Open Street Maps as a network representation

An exploratory analysis of a jobs posting dataset along with some tidbits on the Singapore hiring landscape

Part II in the network exploration of the Game of Thrones series. In this post, we combine the plots together and use gganimate to visualise relationships across all 5 books

A network exploration on the links between characters in the Game of Thrones series with the help of igraph and tidygraph

Chains, Forks, Colliders, paths and d-seperation - how DAGs can contribute to better causal inference

Extending Pyspark's MLlib native feature selection function by using a feature importance score generated from a machine learning model and extracting the variables that are plausibly the most important

Custom cross-validation class written in PySpark with support for user-defined category such as by time, geographical or consumer segments.

Simple guide to convert jupyter notebooks to markdown posts which can be published in your favourite static site generator

Deriving the OLS formula as a means of approximating the conditional expectation function

A reference cheatsheet on adjacency matrix, incidence matrix, laplacian matrix and the basics of algebraic graph theory

SG Dashboard is now released and updated with Q3's economic results

How should we choose the control group in a situation where we have multiple treatments and time periods? A simple statistical simulation exercise

Applying the SVD to the regression framework

An R shiny application with Leaflet

To what extent do the coefficients obtained from a regression carried out at the group level correspond to the estimates at the individual level?

Deriving the OLS estimator via the maximum likelihood approach

A tutorial on using Leaflet in R for geospatial visualisation

Exploring the changes in religious beliefs in Singapore between 2000 to 2015

Establishing the OLS formula via the method of moments approach

Examining the spatial distribution of Singapore's population

Deriving the OLS estimator - projection method

The last installment of the Thesis Thursday series - some miscellaneous thoughts and lessons learnt over the past few months

This post is the first in a series of my study notes on regression techniques. It covers regression as a solution to the least squares minimisation problem

updated the SG-Dashboard with 2Q 2017 numbers

I find a positive correlation between the foreign-born and consumption shares within U.S. counties but this result does not hold across Asian countries. In fact, an increase in foreign-born share led to a decline in consumption of Asian-related consumer packaged goods

In the previous post, I provided an exploratory analysis of the allrecipe dataset. This post is a continuation and details the construction of product weights from the recipe corpus

A first look at the recipe dataset scraped from allrecipes.com

A mathematical model of my Thesis Thursday project with some discussion of endogeneity

Binscatter for R - a convenient plot to observe the relationship between two variables, especially when working with large datasets

Over the past week I made a few detours and explored other options that yielded little. On the positive side, I managed to merge and clean most of the datasets and started generating some descriptive statistics to get a better understanding of the data

I decided to document my progress on my masters thesis as a weekly Thursday special. Hopefully I would have enough materials or progress to continue the weekly post but this should also give me some motivation to work on it

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