Machine learning : theoretical foundations and practical applications / / Manjusha Pandey, Siddharth Swarup Rautaray, editors

• Pubblicazione: Singapore : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (xi, 172 pages) : illustrations (some color), charts
• Disciplina: 006.31
• Soggetto topico: Machine learning
• Persona (resp. second.): PandeyManjusha; RautaraySiddharth Swarup
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: What do RDMs capture in brain responses and computational models? -- Challenges and solutions in developing convolutional neural networks and long short-term memory networks for industry problems -- Speed, cloth and pose invariant gait recognition-based person identification -- Application of machine learning in industry 4.0 -- Web semantics and knowledge graph -- Machine learning-based wireless sensor networks -- AI to machine learning : lifeless automation and issues -- Analysis of FDIs in different sectors of the Indian economy -- Customer profiling and retention using recommendation system and factor identification to predict customer churn in telecom industry.
• Sommario/riassunto: Topics include neural network learning, knowledge acquisition and learning, 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.
• Titolo autorizzato: Machine learning
• ISBN: 981-336-518-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484871303321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in big data ; ; v. 87.