Andere Kunden interessierten sich auch für
![Deep Learning]( "Deep Learning")
Deep Learning107,99 €![Advances in Machine Learning and Data Mining for Astronomy]( "Advances in Machine Learning and Data Mining for Astronomy")
Advances in Machine Learning and Data Mining for Astronomy75,99 €![A Simple Guide to Data Driven Technologies using Machine Learning and Deep Learning]( "A Simple Guide to Data Driven Technologies using Machine Learning and Deep Learning")
A Simple Guide to Data Driven Technologies using Machine Learning and Deep Learning24,99 €![Matrix Methods in Data Mining and Pattern Recognition]( "Matrix Methods in Data Mining and Pattern Recognition")
Matrix Methods in Data Mining and Pattern Recognition90,99 €![Getting Started with Chatbots]( "Getting Started with Chatbots")
Getting Started with Chatbots23,99 €![WSDM 16 9th ACM International Conference on Web Search and Data Mining]( "WSDM 16 9th ACM International Conference on Web Search and Data Mining")
WSDM 16 9th ACM International Conference on Web Search and Data Mining212,99 €![Transformative Artificial Intelligence (AI) Driverless Self-Driving Cars: Practical Advances in AI and Machine Learning]( "Transformative Artificial Intelligence (AI) Driverless Self-Driving Cars: Practical Advances in AI and Machine Learning")
Transformative Artificial Intelligence (AI) Driverless Self-Driving Cars: Practical Advances in AI and Machine Learning31,99 €
Data-driven approaches, particularly machine learning and data mining, are the main driving force of the current artificial intelligence technology. This book covers a wide variety of methods in machine learning and data mining, dividing them from a viewpoint of data types, which begin with rather simple vectors and end by graphs and also combination of different data types. This book describes standard techniques of machine learning and data mining for each data type, especially focusing on the relevance and difference among them. Also after explaining a series of machine learning methods for seven different data types, this book has a chapter for standard validation methods on empirical results obtained by applying machine learning methods to data. This book can be used for a variety of objectives, including an introductory textbook of studying machine learning and a (first step) book to start machine learning research, etc.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.