05 — Links / Resources

Resources

A curated list of websites I have found valuable throughout my research, writing, and analysis work.

Writing

エリート的な文章の書き方 (Elite Writing Style)

A Japanese-language guide defining "elite writing" as prose with well-structured paragraphs that convey arguments clearly and sentences free of structural flaws that burden the reader. Offers practical instruction for anyone writing columns, essays, or academic papers where genuine comprehension by the reader is the goal.

disadvantaged.web.fc2.com
Textbooks

Supervised Machine Learning for Science

An open online textbook (by Christoph Molnar & Timo Freiesleben) exploring how to apply supervised machine learning in scientific research. Covers the theory and practice of integrating ML not merely as a prediction tool but as a scientific instrument equipped with interpretability, causal reasoning, and uncertainty quantification. Published under CC BY-NC-SA 4.0.

ml-science-book.com

Interpretable Machine Learning

A comprehensive guide to making black-box models explainable (by Christoph Molnar). Covers a wide range from interpretable models such as decision trees and linear regression to model-agnostic methods including LIME and SHAP (Shapley values). The third edition (2024) adds new techniques. Accessible without extensive mathematical prerequisites.

christophm.github.io/interpretable-ml-book