📮 Data Analytics: Models and Algorithms 4E by Thomas A. Runkler (.ePUB)+

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. The new edition integrates themes such as Word Embeddings, Transformer Models, and Generative AI among the contents and offers new exercises in addition. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens. The main focus of this book is data preprocessing and data analysis. The chapters are structured according to the main methods of preprocessing and analysis: data and relations, data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. This book gives a clear and concise overview of the most important methods and algorithms of data analysis. It enables the reader to gain a complete and comprehensive understanding of data analysis, to apply data analysis methods to own projects, and to contribute to the progress of the field.

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