Review and compare a couple of linear, non-linear, and hybrid machine learning modules that have been implemented so far in the past year.
My review has three articles to be reviewed (As submitted below):
Paper1: Linear Regression, Light Gradient Boosting Machine, and Random Forest models.
Paper2: Convolutional Neural Networks models.
Paper3: Hybrid Neural Network models.
The review must include a minimum of 50 references (this can be obtained from these three articles each time you paraphrase a sentence that has a reference there)