Data mining and machine learning : fundamental concepts and algorithms /
Zaki, Mohammed J., 1971-
Data mining and machine learning : fundamental concepts and algorithms / Mohammed J. Zaki, Wagner Meira Jr. - xi, 766 páginas: ilustraciones
Revised edition of: Data mining and analysis. 2014.
"The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts.New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning"--
COBERTURA BIBLIOGRAFICA:
EIN091B
Asignatura: Inteligencia de negocios
9781108473989
MINERIA DE DATOS
006.312 / Z21
Data mining and machine learning : fundamental concepts and algorithms / Mohammed J. Zaki, Wagner Meira Jr. - xi, 766 páginas: ilustraciones
Revised edition of: Data mining and analysis. 2014.
"The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts.New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning"--
COBERTURA BIBLIOGRAFICA:
EIN091B
Asignatura: Inteligencia de negocios
9781108473989
MINERIA DE DATOS
006.312 / Z21