andyjohnson0

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  1. I'm a developer. I have a basic working knowledge of classic neural networks. I'd like to learn about genetic algorithms. What books should I be reading? I prefer dead-tree, but pdf suggestions too please.

  2. Supercollider (supercollider.github.io)
  3. Overview Effect (en.wikipedia.org)
  4. The Shape of the Thing (oneusefulthing.org)
  5. The Field Guide to Design Futures (designfutures.guide)
  6. Wikihistory (reactormag.com)
  7. I'm a developer - primarily .NET on Windows. I've recently started a new job which, although a senior dev role, is also requiring more Windows IT knowledge than I anticipated: domains, Active Directory, security, group…