This book provides a comprehensive introduction to Machine Learning techniques and Model Evaluation, covering the complete lifecycle of developing intelligent predictive models. It explores fundamental learning approaches, including supervised, unsupervised, and reinforcement learning, along with widely used algorithms for classification, regression, clustering, and pattern discovery. The book also emphasizes the importance of evaluating machine learning models using appropriate performance metrics, validation techniques, and error analysis to ensure accuracy, reliability, and generalization. By integrating algorithmic concepts with practical evaluation methods, the book equips readers with the knowledge to build, assess, and optimize machine learning models for real-world applications across diverse domains.
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Ms. Vandana is an Assistant Professor in NorthCap University, Gurugram, India.Dr. Yogita Yashveer Raghav is an Assistant Professor at K.R. Mangalam University, Gurugram, and Chairperson of the Centre of Excellence for Cloud Computing.Ms. Parveen Kumari is an Assistant Professor in the Dronacharya College of Engineering, Gurugram.
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Paperback. Zustand: new. Paperback. This book provides a comprehensive introduction to Machine Learning techniques and Model Evaluation, covering the complete lifecycle of developing intelligent predictive models. It explores fundamental learning approaches, including supervised, unsupervised, and reinforcement learning, along with widely used algorithms for classification, regression, clustering, and pattern discovery. The book also emphasizes the importance of evaluating machine learning models using appropriate performance metrics, validation techniques, and error analysis to ensure accuracy, reliability, and generalization. By integrating algorithmic concepts with practical evaluation methods, the book equips readers with the knowledge to build, assess, and optimize machine learning models for real-world applications across diverse domains. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786630285956
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Taschenbuch. Zustand: Neu. Machine Learning Techniques And Model Evaluation | Vandana Vandana (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630285956 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 136801935
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Paperback. Zustand: new. Paperback. This book provides a comprehensive introduction to Machine Learning techniques and Model Evaluation, covering the complete lifecycle of developing intelligent predictive models. It explores fundamental learning approaches, including supervised, unsupervised, and reinforcement learning, along with widely used algorithms for classification, regression, clustering, and pattern discovery. The book also emphasizes the importance of evaluating machine learning models using appropriate performance metrics, validation techniques, and error analysis to ensure accuracy, reliability, and generalization. By integrating algorithmic concepts with practical evaluation methods, the book equips readers with the knowledge to build, assess, and optimize machine learning models for real-world applications across diverse domains. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9786630285956
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