Søgning på underkategorier- og emner:
This book focuses on recent technical advancements and state-of-the art technologies for analyzing characteristic features and probabilistic modelling of complex social networks and decentralized online network architectures.
This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning.
This book deals with the challenges of designing valid and reproducible experiments, running large-scale dataset collection campaigns, designing activity... Læs mere
This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics,... Læs mere
This reader-friendly textbook presents a comprehensive review of the essentials of image data mining, and the latest... Læs mere
This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas.
This book explores all relevant aspects of net scoring, also known as uplift modeling: a data mining approach used to analyze and predict the effects of a given treatment on a desired target variable for an individual observation.