Machine Learning Data

Machine learning models (algorithms) learn from data. This chapter explains how to collect, store and preprocess the data for machine learning. We will also look at the data strategy and the connection to machine learning data strategy. All data related subjects are very important because the quality of the machine learning model depends greatly on the data quality! We will look at data pre-processing (cleaning, transformation, sampling, resampling, feature selection, normalization, etc.) in more detail because of its importance.