Bringing AI to the Context graph
Context graph visualization and content serving
Dealing with Structured relational data from the Context graph perspective
Entity Identity and Entity Normalization in the Context Graph
Data Indexing Pipeline for Context Graph
Introduction to Ontology, RDF for Context Graph
Design choices of the Context Graph
Project based Intro to Context Graph, Semantic layers, Ontology, and where AI fits in
code is here: https://github.com/VincentK1991/unconcealment
My Work on Brand Safety and Suitability in Social Media at Integral Ad Science
PageRank analysis from Spark Streaming from BigQuery
Modeling attribution from spending & survey data with Probabilistic Programming in NumPyro
Discoverying Advertising Adstock with Probabilistic Programming in Pyro
Sketch2code using Visual Attention & LSTM Decoder
Bayesian regression tutorial with PyMC3
Summarize COVID-19 literature with GPT2
Content-based Image Retrieval
1. background
Deploying an Interactive Visualization Without Tears - A Dashboard on Amazon Web Services
Heterogenous effects estimation using Causal Tree Analysis
Bayesian Approach for Measuring Ads Conversion Lift test
The tsunami of online ads we all face everyday.
Bush V Gore as an apportionment problem
the 2000 election map Bush v. Gore.
Thailand Election's algebra problem
A passionate speaker's corner styled speech by Future forward party.
Thailand Election 2019
Thailand, my motherland, will hold an election in March 24th, 2019. The purpose of this blogpost is to predict what outcome can we expect from the recent change in electoral system i.e. how members of Paliaments (MPs) are allocated.
First we will start off with some historical background (which you can skip if already known to you), then we will learn about two main electoral systems that are relevant to our discussion, and then we will apply them to the context of Thailand. We will take the outcome of 2014 election and apply it to 2019 election.