class: title-acc # Statistical Burger ### Otho --- class: middle # Statistical Learning A set of tools and practices to model and extract informations from a complex dataset. --- class: middle .big-formula[Y ~ X] -- .big-formula[Y ~ X₁ + X₂] -- .big-formula[Y ~ X₁ + X₂ + X₁*X₂] --- class: middle .big-formula[Y = β₀ + β₁X + ε] -- .big-formula[Y = β₀ + β₁X + β₂X₁X₂ + ε] --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- class: middle .big[All models are wrong, some are useful.] --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- class: middle .big[Which model is useful?] --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- class: middle .big[What if the outcome is categorical?] --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- <!-- --> --- class: middle # Thank you! - [Introduction to Statistical Learning in R](http://faculty.marshall.usc.edu/gareth-james/ISL/), - [Supervised Machine Learning in R](https://supervised-ml-course.netlify.com/), - [Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/)