Engineering

November 11, 2022: Google Cloud Dataflow and Its Positive Impact on Developer Productivity
August 6, 2022: Recommendation.jl Came Back to #JuliaCon 2022
April 3, 2022: Cross Validation for Recommender Systems in Julia
February 20, 2022: Validate, Validate, and Validate Data. But, in terms of what?
January 30, 2022: Data Ethics with Lineage
January 8, 2022: Recommendation.jl v0.4.0: Working with Missing Values, Data Typing, and Factorization Machines
October 30, 2021: Cross-Framework Dependency Injection with spring-guice
September 4, 2021: Save HTML <svg> as an Image
June 5, 2021: Understanding Array Bisection Algorithm
April 19, 2021: Learning Cryptocurrency with Code
April 11, 2021: What Blockchain Brings to Real-World Applications
March 13, 2021: How Much CO2 Emissions Have Your Flights Made?
March 6, 2021: Moving Julia Project from Travis CI to GitHub Actions #JuliaLang
February 3, 2021: Practicing D3 Interactive Data Visualization with Fitbit Activity/Sleep Log
January 23, 2021: Datavis 2020: A Free Online Course About D3.js & React
November 28, 2020: Are You Still Writing a Resume in Word/LaTeX?
May 26, 2020: Completed Functional Programming in Scala Specialization on Coursera, Finally
August 31, 2019: Hello Netrify for Hosting a Static Site
July 26, 2019: Lightning Talk about Recommender Systems in Julia at #JuliaCon 2019
April 7, 2019: TokuDB in MariaDB (on Ubuntu)
March 31, 2019: Publishing My Master's Thesis with Documenter.jl
March 24, 2019: Apache Hivemall in PySpark
January 14, 2019: Feeding User-Item Interactions to Python-Based Streaming Recommendation Engine via Faust
November 2, 2018: Sending Sensor Data from Mbed Simulator to Treasure Data
November 11, 2017: Understanding Research Trends in Recommender Systems from Word Cloud
June 26, 2017: Deploying Static Site to GitHub Pages via Travis CI
May 28, 2017: Hugo meets kramdown + KaTeX #gohugo
April 30, 2017: Moving to GitHub Pages
April 16, 2017: Comparison of Running Time of Cached/Uncached Spark RDD
February 25, 2017: Parallel Programming vs. Concurrent Programming
January 21, 2017: FluRS: A Python Library for Online Item Recommendation
January 14, 2017: Recommendation.jl: Building Recommender Systems in Julia
October 19, 2015: Migrate to Hugo from Jekyll: Another Solution for the MathJax+Markdown Issue