ML overview
Machine Learning is a field of AI and computer science that leverages statistical models and computer science algorithms for learning patterns inherent in data, without being explicitly programmed. ML consists of algorithms that automatically convert patterns within data into models. Where pure mathematical or rule-based models perform the same task over and over again, an ML model learns from data and its performance can be greatly improved by exposing it to vast amounts of data.
A typical ML process involves applying an ML algorithm to a known dataset called the training dataset, to generate a new ML model. This process is generally termed model training or model fitting. Some ML models are trained on datasets containing a known correct answer that we intend to predict in an unknown dataset. This known, correct value in the training dataset is termed the label.
Once the model is trained, the resultant model is applied to new data in order to 
predict the...
