Older English posts

Causal inference is becoming a hot topic in ML community. This post formulates one of its important concepts called doubly robust estimator with simple notations.

This post introduces how to count page views and show popular posts in the sidebar of Gatsby Blog. Google Analytics saves you the trouble of preparing databases and APIs.

This post summarizes how to group data by some variable and draw boxplots on it using Pandas and Seaborn.

Double descent is one of the mysteries of modern machine learning. I reproduced the main results of the recent paper by Nakkiran et al. and posed some questions that occurred to me.

This post explains how MobileBERT succeeded in reducing both model size and inference time and introduce its implementation in TensorFlow.js that works on web browsers.

Stuck in an error when enabling Gatsby incremental builds on Netlify? This post might help it.

Have you ever confused Pandas methods `loc`, `at`, and `iloc` with each other? It's no more confusing when you have this table in mind.

"Representation" is a way AIs understand the world. This post is a short introduction to the representation learning in the "deep learning era."

This post introduces how to put arranged SNS share buttons for Gatsby blog posts.

How does Google's PageRank work? Its theory and algorithm are explained, followed by numerical experiments.