Recent Posts

• September 11, 2020

  Constrained Contextual Bandits for Personalized Recommendation

  Contextual bandits (CB), unlike the full Reinforcement Learning problem in which there are environmental states, new states depend on previous actions, and rewards can be delayed over time, “contexts” under the CB context do not mean the environ...

• August 09, 2020

  Democratizing Building ML Web App with Streamlit and Heroku

  R ecently I integrated a TensorFlow-enabled ML model into the Streamlit web app in lessthan 40 lines of codes. Then I deploy the app on Heroku,a low-code platform for deploying, managing and scaling modern apps. In this post, I will show briefly h...

• July 28, 2020

  Deploy ML Models with Flask and Docker Easily

  In this tutorial, I will show you step-by-step how to build a web application with Flask from a pre-trained toy ML classification model built offline and then containerize the application using Docker. You can find the project page here.Big pictur...

• June 13, 2020

  German Tank Problem Explained

  Recently I came across a podcast talking about an anecdote about statisticians estimating the German monthly tank production numbers during World War II which I found it super interesting. The number of tanks production has been a classified infor...

• June 09, 2020

  Book Review: The Lady Tasting Tea

  Here is the book review on this stimulating book: The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century that I wrote in Chinese almost 10 years ago at the time when I was a college student majoring in Statistics.Hone...