KNN: K-Nearest Neighbors Essentials
The k-nearest neighbors (KNN) algorithm is a simple machine learning method used for both classification and regression. The kNN algorithm predicts the outcome of a new observation by comparing... [Read more]
Statistical machine learning refers to a set of powerful automated algorithms that are used to predict an outcome variable based on multiple predictor variables. The algorithms automatically improve their performance through “learning” from the data, that is they are data-driven and do not seek to impose linear or other overall structure on the data (P. Bruce and Bruce 2017). This means that they are non-parametric.
The different machine learning methods can be used for both:
In this part, we’ll cover the following methods:
Bruce, Peter, and Andrew Bruce. 2017. Practical Statistics for Data Scientists. O’Reilly Media.