Automated Machine Learning (AutoML) involves building models without human intervention. Various AutoML packages include auto-sklearn, h2o autoML, TPOT, auto_ml (unmaintained), and mljar. Explore a comprehensive list of AutoML software.
See how machine learning, once limited to big companies, is now accessible for small start-ups. Explore a demo using MLJAR R API to predict customer churn for a telecom company.
Understanding hyper-parameters is vital in machine learning. Unlike parameters derived from data, hyper-parameters impact algorithm performance. Tuning them intelligently, using methods like grid search, is crucial for optimal models.
Analytic methods, especially machine learning, can enhance Human Resources (HR) management for companies with numerous employees. For instance, predicting employee turnover and offering targeted retention bonuses can save on training costs and retain valuable, experienced staff.