Part $1$: Machine Learning Algorithms

Find a real$-$world example of machine learning used for inference.

Identify the algorithm$($s$)$ used and propose an alternative algorithm.

Indicate the weaknesses and strengths of the alternative.

Part $2$: Supervised Machine Learning

Find a real$-$world example $($or make up your own$)$ of supervised machine learning. What is the intended goal of the model? Which of the algorithms would you choose $($Linear model, nonlinear model$$particularly a neural network, nonparametric model, support vector machine$)?$vWhat are the reasons the other three would not be appropriate choices?