EDH.
Learn

Learn.

Three subjects. Pick the one you need today, then read it in order.

01

Design of Experiments

The method itself, from the vocabulary up to response surfaces. Start at the top if the subject is new to you, or jump to the design you are about to run.

  • What is Design of Experiments? (DoE Basics)
  • Key DoE Terms
  • Principles of DoE: Randomization, Replication, Blocking
  • and 28 more
31 parts →
02

Bayesian Optimization

What to do when a grid of experiments is too expensive to run. How the algorithm picks the next trial, and how to drive it from Python.

  • Understanding Bayesian Optimization
  • Testing Bayesian Optimization for Lab Experiments
  • A Technical Guide to Bayesian Optimization
  • and 4 more
7 parts →
03

AI agents in the lab

Getting an AI agent running on your own machine and pointing it at your own data. Written for chemists. Nothing assumed.

  • Install Claude Code
  • First steps with Claude Code
  • Make the output yours
3 parts →