📗 -> 11/5: Z-Scores
[Lecture Slide Link]
🎤 Vocab
❗ Unit and Larger Context
So Far:
Chapter 3
- Identify/Classify items based on features (ML)
- Bayes method (high protein -> cancer)
Chapter 4:
- Families of discrete random variables
- Indicators, uniform, geometric, discrete, binomial
Chapter 5:
- Indicators, uniform, geometric, discrete, binomial
- Continuous RVs
- Integration over curve
Finishing Ch7:
- Gaussians and Z-Score
- Continuous RVs
- Z-scores
Chapter 11:
Are random variables IID
IID - Independent and identically distributed
Sampling is done with replacement, so as not to change the sampling curve
Long run average of the sampling distribution is expected to equal the population average
✒️ -> Scratch Notes
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🧪-> Example
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🔗 -> Links
Resources
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Connections
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