
Choice Made Simple!
Too many options?Click below to purchase an online gift card that can be used at participating retailers in Village Green Shopping Centre and continue your shopping IN CENTRE!Purchase HereHome
Machine Learning: Theoretical Foundations and Practical Applications
Coles
Loading Inventory...
Machine Learning: Theoretical Foundations and Practical Applications in Vernon, BC
Current price: $262.95

Coles
Machine Learning: Theoretical Foundations and Practical Applications in Vernon, BC
Current price: $262.95
Loading Inventory...
Size: Paperback
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Coles
This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9-12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.
This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9-12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.


















