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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 120 pp. Englisch. N° de réf. du vendeur 9786630094640
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Taschenbuch. Etat : Neu. A Study on Markov Models and its Applications in Machine Learning | Sripriya Muppidi (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630094640 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 135854734
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Paperback. Etat : new. Paperback. The work focuses on the study of Markov models and their applications in machine learning, particularly in data classification. Various machine learning classification techniques are reviewed and implemented using real-world datasets such as the Credit Card Dataset and Air Quality Index Dataset. Their performance is analyzed to understand their effectiveness in solving classification problems. The study investigates the application of Markov Decision Processes (MDPs) for classification tasks. MDPs provide a framework for decision-making under uncertainty and are applied to classify the selected datasets. The effectiveness of Hidden Markov Models (HMMs) in capturing probabilistic relationships and hidden patterns within data is also examined. HMM algorithms are implemented and used for data classification. In addition, the Expectation Maximization (EM) algorithm is studied and applied to classification problems. A comparative analysis of the various methods is carried out, highlighting their merits, demerits, and limitations. The concepts of misclassification and error bounds are also discussed to evaluate the accuracy and reliability of the classification models. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786630094640
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware 120 pp. Englisch. N° de réf. du vendeur 9786630094640
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The work focuses on the study of Markov models and their applications in machine learning, particularly in data classification. Various machine learning classification techniques are reviewed and implemented using real-world datasets such as the Credit Card Dataset and Air Quality Index Dataset. Their performance is analyzed to understand their effectiveness in solving classification problems. The study investigates the application of Markov Decision Processes (MDPs) for classification tasks. MDPs provide a framework for decision-making under uncertainty and are applied to classify the selected datasets. The effectiveness of Hidden Markov Models (HMMs) in capturing probabilistic relationships and hidden patterns within data is also examined. HMM algorithms are implemented and used for data classification. In addition, the Expectation Maximization (EM) algorithm is studied and applied to classification problems. A comparative analysis of the various methods is carried out, highlighting their merits, demerits, and limitations. The concepts of misclassification and error bounds are also discussed to evaluate the accuracy and reliability of the classification models. N° de réf. du vendeur 9786630094640
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