Andere Kunden interessierten sich auch für
![Multilinear Subspace Learning]( "Multilinear Subspace Learning")
Multilinear Subspace Learning150,99 €![Large-Scale Machine Learning in the Earth Sciences]( "Large-Scale Machine Learning in the Earth Sciences")
Large-Scale Machine Learning in the Earth Sciences190,99 €![Networking for Big Data]( "Networking for Big Data")
Networking for Big Data182,99 €![Pattern Recognition Algorithms for Data Mining]( "Pattern Recognition Algorithms for Data Mining")
Pattern Recognition Algorithms for Data Mining161,99 €![Foundations of Predictive Analytics]( "Foundations of Predictive Analytics")
Foundations of Predictive Analytics134,99 €![Machine Learning and IoT for Intelligent Systems and Smart Applications]( "Machine Learning and IoT for Intelligent Systems and Smart Applications")
Machine Learning and IoT for Intelligent Systems and Smart Applications150,99 €![IoT and Big Data Analytics for Smart Cities]( "IoT and Big Data Analytics for Smart Cities")
IoT and Big Data Analytics for Smart Cities149,99 €
Reflecting rapidly developing concepts and newly emerging paradigms in intelligent machines, this text is the first to integrate genetic programming and machine learning techniques to solve diverse real-world tasks.These tasks include financial data prediction, day-trading rule development; and bio-marker selection. Written by a leading authority, this text will teach readers how to use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. All source codes and GUIs are available for download from the author's website
Reflecting emerging concepts and new paradigms in intelligent machines, this is the first book to integrate genetic programming and machine learning techniques for solving a wide range of real-world tasks¿including financial data prediction, day-trading rule development, and bio-marker selection. Written by a leading authority, the book explains how to: use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. All source code and GUIs are made available for download.
Reflecting emerging concepts and new paradigms in intelligent machines, this is the first book to integrate genetic programming and machine learning techniques for solving a wide range of real-world tasks¿including financial data prediction, day-trading rule development, and bio-marker selection. Written by a leading authority, the book explains how to: use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. All source code and GUIs are made available for download.