practical applications machine learning de nawrocka monika (5 resultados)

Paperback. Condición: Brand New. 164 pages. 8.66x5.91x0.37 inches. In Stock.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning combines techniques from many different traditional scientific disciplines such as statistics, mathematics, computer science. It was created for solution of classification, prediction, regression, optimization, and finally recommendation. The problems of machine learning is treated primarily as a process leading to a solution. This book presents methods for solving problems using machine learning algorithms. Based on the examples, supervised and unsupervised learning was implemented. 164 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nawrocka MonikaThe author is a doctoral student at The Jerzy Kukuczka Academy of Physical Education and work in Chair of Statistics, Methodology and Informatics. By profession the author is an economist and data analyst.Machine l.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine learning combines techniques from many different traditional scientific disciplines such as statistics, mathematics, computer science. It was created for solution of classification, prediction, regression, optimization, and finally recommendation. The problems of machine learning is treated primarily as a process leading to a solution. This book presents methods for solving problems using machine learning algorithms. Based on the examples, supervised and unsupervised learning was implemented.Books on Demand GmbH, Überseering 33, 22297 Hamburg 164 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning combines techniques from many different traditional scientific disciplines such as statistics, mathematics, computer science. It was created for solution of classification, prediction, regression, optimization, and finally recommendation. The problems of machine learning is treated primarily as a process leading to a solution. This book presents methods for solving problems using machine learning algorithms. Based on the examples, supervised and unsupervised learning was implemented.