A short introduction to machine learning
📖 Description
Despite the current popularity of machine learning, I haven't found any short introductions to it which quite match the way I prefer to introduce people to the field. So here's my own. Compared with other introductions, I've focused less on explaining each concept in detail, and more on explaining how they relate to other important concepts in AI, especially in diagram form. If you're new to machine learning, you shouldn't expect to fully understand most of the concepts explained here just after reading this post - the goal is instead to provide a broad framework which will contextualise more detailed explanations you'll receive from elsewhere.
📊 Game Impacts
| Variable | Change | Condition |
|---|---|---|
| Research | +10 | Always |
| Vibey Doom | +2 | Always |
| Ethics Risk | -5 | Always |
💭 Reactions
"Adds to our knowledge base"
"Discussed in AI safety community"
🔗 Sources
🤝 Found an Issue?
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