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This textbook bridges the gap between business management and organisational methods and their digital implementation, because process management increasingly means designing operational tasks.
One defining feature of this book is to make an explicit connection between the communication principles and data science problems, as well as to succinctly deliver the “story” of how the communication principles play a role for trending data science applications.
This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. The book covers the... Læs mere
The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using... Læs mere
This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., “mechanistic” principles) to solve intractable problems.
This textbook provides a compact but comprehensive treatment that provides analytical and design steps to recurrent neural networks from scratch.
The result is an accessible introduction into machine learning that concentrates on reinforcement learning.
The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML... Læs mere
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science.