Metalearning Applications To Automated Machine Learning And Data Mining - Pavel Brazdil

This Open Access Book Offers A Comprehensive And Thorough Introduction To Almost All Aspects Of Metalearning And Automated Machine Learning (automl), Covering The Basic Concepts And Architecture, Evaluation, Datasets, Hyperparameter Optimization, Ensembles And Workflows, And Also How This Knowledge Can Be Used To Select, Combine, Compose, Adapt And Configure Both Algorithms And Models To Yield Faster And Better Solutions To Data Mining And Data Science Problems. It Can Thus Help Developers To Develop Systems That Can Improve Themselves Through Experience.as One Of The Fastest-growing Areas Of Research In Machine Learning, Metalearning Studies Principled Methods To Obtain Efficient Models And Solutions By Adapting Machine Learning And Data Mining Processes. This Adaptation Usually Exploits Information From Past Experience On Other Tasks And The Adaptive Processes Can Involve Machine Learning Approaches.