1# Library to Find Best eBook for Read
Author : Michael Turney
Release : 2013
Genre : Algorithms
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Multi-label cost-sensitive learning by : Michael Turney
Download or read book Multi-label cost-sensitive learning written by Michael Turney. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Balaji Krishnapuram
Release : 2011-12-19
Genre : Computers
Kind : eBook
Book Rating : 28X/5 ( reviews)
Book Synopsis Cost-Sensitive Machine Learning by : Balaji Krishnapuram
Download or read book Cost-Sensitive Machine Learning written by Balaji Krishnapuram. This book was released on 2011-12-19. Available in PDF, EPUB and Kindle. Book excerpt: In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting, validation, and testingCost of collecting features/attributes for test dataCost of user feedback collect
Author : Peter Flach
Release : 2012-09-20
Genre : Computers
Kind : eBook
Book Rating : 391/5 ( reviews)
Book Synopsis Machine Learning by : Peter Flach
Download or read book Machine Learning written by Peter Flach. This book was released on 2012-09-20. Available in PDF, EPUB and Kindle. Book excerpt: Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook.
Author : Jason Brownlee
Release : 2020-01-14
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Imbalanced Classification with Python by : Jason Brownlee
Download or read book Imbalanced Classification with Python written by Jason Brownlee. This book was released on 2020-01-14. Available in PDF, EPUB and Kindle. Book excerpt: Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal. Cut through the equations, Greek letters, and confusion, and discover the specialized techniques data preparation techniques, learning algorithms, and performance metrics that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover how to confidently develop robust models for your own imbalanced classification projects.
Author : Oded Maimon
Release : 2006-05-28
Genre : Computers
Kind : eBook
Book Rating : 65X/5 ( reviews)
Book Synopsis Data Mining and Knowledge Discovery Handbook by : Oded Maimon
Download or read book Data Mining and Knowledge Discovery Handbook written by Oded Maimon. This book was released on 2006-05-28. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
