The 4 Steps of Building Machine Learning Systems

The diagram in this video shows the tpyical workflow diagram for using machine learning in predictive modeling (recommender systems). The four steps are: - Preprocessing - getting data into shape This can consist of Feature Extraction and scaling, Feature Selection, Dimensionality Reduction and Sampling. Using the selected model that has been fitted on the training dataset to predict incoming new data.