Chapter 1, Implementing Machine Learning Algorithms

1. In classical programming, the code developed and run in the computer is a step-by-step set of instructions telling the computer what to do and how to handle different options. Machine learning is about showing the computer examples of data to either teach it what to do by example, or to let it learn information that is hidden in the data.
2. The machine learning models can be either regression (if the target variable is numerical and continuous) or classification (if the target variable is categorical or discrete).
3. Models that learn by example, training on labeled data, are called supervised machine learning models. In comparison, those that find information in the unlabeled data are called unsupervised machine learning models.
4. The following are the main steps that are needed when creating and using a machine learning model:
   1. Obtaining...