BREAKING
ML Primer for Engineers Released
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Organized in Three Parts
1
Fundamentals
↓
2
Architectures
↓
3
Gates as Control
Not What, But When and Why
Conventional
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Centers on what to do
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Step-by-step tutorials
This Primer
analogy-driven
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When and why to choose
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Tradeoffs included
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Engineering analogies
Reception Broadly Positive
Practical Validation to Come
AI NEWS BLITZ
A new machine learning primer for software engineers just dropped on GitHub.