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?