Chapter 11, The Future of Machine Learning

1. The model training and testing is replaced by data mining, which works by trying to get useful information from the data.
2. New data is included continuously into the data flow, and the full cycle must be fulfilled before feeding it into a machine learning model.
3. A hyperparameter value is set before starting the learning process and defines some characteristics of the model (for example, the number of cycles in an artificial neural network training model).
4. The following steps can be performed automatically by AutoML:
   • Data preprocessing
   • Feature engineering
   • Model selection
   • Optimization of the model hyperparameters
   • Analysis of the model results