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This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata.
This textbook provides a concise introduction to optimal experimental design and efficiently prepares the reader for research in the... Læs mere
It makes an original contribution to the important issue of the stability of society by highlighting two significant factors: the COVID-19 crisis as a catalyst for change and the rise of AI and Big Data in managing society.
This book provides a complete practical guide of processing data in public health with R language. Many first-hand examples are presented... Læs mere
This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence.
This book provides a compact introduction to the theory of measure-valued branching processes, immigration processes and Ornstein–Uhlenbeck type processes. Measure-valued branching processes arise as high density limits of branching particle systems.
This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods.