Scala for Machine Learning

Chapter 1. Getting Started

It is critical for any computer scientist to understand the different classes of machine learning algorithms and be able to select the ones that are relevant to the domain of their expertise and dataset. However, the application of these algorithms represents a small fraction of the overall effort needed to extract an accurate and performing model from input data. A common data mining workflow consists of the following sequential steps:

1. Defining the problem to solve.
2. Loading the data.
3. Preprocessing, analyzing, and filtering the input data.
4. Discovering patterns, affinities, clusters, and classes, if needed.
5. Selecting the model features and appropriate machine learning algorithm(s).
6. Refining and validating the model.
7. Improving ...