There is a subtle difference between statistical learning models and machine learning models.
Statistical learning involves forming a hypothesis before we proceed with building a model. The hypothesis could involve making certain assumptions which we validate after building the models.
For example, let us consider Linear Regression (LR) which is an example of a statistical model. While building a LR model, a set of 3 assumptions are made.
Maintenance and security release of the Drupal 7 series. This release fixes critical security vulnerabilities. Sites are urged to upgrade immediately after reading the notes below and the security announcement: Drupal core - Critical - Remote Code Execution - SA-CORE-2018-004 No other fixes are included.