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This book focuses on data analytics and machine learning techniques in MATLAB using functionality within Statistics and Machine Learning Toolbox and Neural Network Toolbox. The book demonstrates the use of unsupervised learning to discover features in large data sets and supervised learning to build predictive models. Examples and exercises highlight techniques for visualization and evaluation of results. Topics include:Organizing and preprocessing data.Clustering data.Creating classification and regression models.Interpreting and evaluating models.Simplifying data sets.Using ensembles to improve model performance.…mehr

Produktbeschreibung
This book focuses on data analytics and machine learning techniques in MATLAB using functionality within Statistics and Machine Learning Toolbox and Neural Network Toolbox. The book demonstrates the use of unsupervised learning to discover features in large data sets and supervised learning to build predictive models. Examples and exercises highlight techniques for visualization and evaluation of results. Topics include:Organizing and preprocessing data.Clustering data.Creating classification and regression models.Interpreting and evaluating models.Simplifying data sets.Using ensembles to improve model performance.
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Autorenporträt
Adnan Shahin is an electrical engineer. He received his B.Sc. degree in Electrical and Electronics Engineering from Near East University in Cyprus in 2014. Then, he studied Electrical Power Engineering at Duisburg-Essen University in Duisburg/Germany and received his M.Sc. degree in 2019.