I took AP Stat in HS and then College Stats in college unnecessarily. In HS it was TI-83 calculators, and in college it was excel with optional minitab. R was new then
I remember ANOVA being the pinnacle of AP Stat. There are newer ANOVA-like statistical procedures like CANOVA;
> Out of all the methods that an estimator implements, fit is usually the one you want to implement yourself. Other methods such as set_params, get_params, etc. are implemented in BaseEstimator, which you should inherit from. You might need to inherit from more mixins, which we will explain later.
What is the difference between accuracy, precision, specificity, and sensitivity?
Khan Academy has curriculum alignment codes on their OER content, but not yet Schema.org/about and or :educationalAlignment for their https://schema.org/LearningResource (s)
I took AP Stat in HS and then College Stats in college unnecessarily. In HS it was TI-83 calculators, and in college it was excel with optional minitab. R was new then
I remember ANOVA being the pinnacle of AP Stat. There are newer ANOVA-like statistical procedures like CANOVA;
"Efficient test for nonlinear dependence of two continuous variables" (2015) https://pmc.ncbi.nlm.nih.gov/articles/PMC4539721/
Estimators:
Yellowbrick implements the scikit-learn Estimator API: https://www.scikit-yb.org/en/latest/
"Developing scikit-learn estimators" https://scikit-learn.org/stable/developers/develop.html#esti... :
> All estimators implement the fit method:
> Out of all the methods that an estimator implements, fit is usually the one you want to implement yourself. Other methods such as set_params, get_params, etc. are implemented in BaseEstimator, which you should inherit from. You might need to inherit from more mixins, which we will explain later.https://scikit-learn.org/stable/modules/generated/sklearn.pi...
Sklearn Glossary > estimator: https://scikit-learn.org/stable/glossary.html#term-estimator
https://news.ycombinator.com/item?id=41311052
https://news.ycombinator.com/item?id=28523442
What is GridSearchCV and what are ways to find optimal faster than brute force grid search?
IRL case studies with applied stats and ML and AI:
- "ML and LLM system design: 500 case studies to learn from" https://news.ycombinator.com/item?id=43629360
Additional stats resources:
- "Seeing Theory" Brown https://seeing-theory.brown.edu/
- "AP®/College Statistics" Khan Academy https://www.khanacademy.org/math/ap-statistics
- "Think Stats: 3rd Edition" notebooks https://github.com/AllenDowney/ThinkStats/tree/v3
And physics and information theory in relation to stats as a field with many applications:
- "Information Theory: A Tutorial Introduction" (2019) https://arxiv.org/abs/1802.05968 .. https://g.co/kgs/sPha7qR
- Entropy > Statistical mechanics: https://en.wikipedia.org/wiki/Entropy#Statistical_mechanics
- Statistical mechanics: https://en.wikipedia.org/wiki/Statistical_mechanics
- Quantum Statistical mechanics: https://en.wikipedia.org/wiki/Quantum_statistical_mechanics
Statistical procedures are inferential procedures.
There are inductive, deductive, and abductive methods of inference.
Statistical inference: https://en.wikipedia.org/wiki/Statistical_inference
Statistical literacy: https://en.wikipedia.org/wiki/Statistical_literacy
Also, the ROC curve Wikipedia sidebar: https://en.wikipedia.org/wiki/Receiver_operating_characteris...
What is the difference between accuracy, precision, specificity, and sensitivity?
Khan Academy has curriculum alignment codes on their OER content, but not yet Schema.org/about and or :educationalAlignment for their https://schema.org/LearningResource (s)