Informationsutvinning (data mining)
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This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and …
In der Informatik sind einige Fachleute der Meinung, dass das Mainframe Computing seine bedeutende Zeit berschritten hat. In den letzten 10 Jahren ist die Mainframe-Ausbildung …
This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random …
This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, …
Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of …
This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, …
Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of …
The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students …
The amount of new information is constantly increasing, faster than our ability to fully interpret and utilize it to improve human experiences. Addressing this asymmetry requires …
Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of …