This book presents the fundamentals and applications of predictive modelling using AI and ML in a structured manner. The first chapter introduces the concept and foundations of predictive modelling. The second chapter discusses data preparation and feature engineering. The third chapter focuses on machine-learning and deep-learning algorithms. The fourth chapter explains model evaluation, interpretation and deployment. The final chapter examines applications, emerging trends, ethical considerations and future directions.The objective is to provide students, researchers, educators and professionals with a conceptual foundation for understanding how predictive models are developed and used in real-world systems.
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Dr. Rajni Gautam is a researcher and academician associated with K.R. Mangalam University, Gurugram, with interdisciplinary interests spanning artificial intelligence, nanotechnology, materials science and education. She has contributed to research publications, academic projects and scholarly writing in emerging areas of science and technology.
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Anbieter: Home-set, Mannheim, Deutschland
Softcover/Taschenbuch. Zustand: Neu. This book presents the fundamentals and applications of predictive modelling using AI and ML in a structured manner. The first chapter introduces the concept and foundations of predictive modelling. The second chapter discusses data preparation and feature engineering. The third chapter focuses on machine-learning and deep-learning algorithms. The fourth chapter explains model evaluation, interpretation and deployment. The final chapter examines applications, emerging trends, ethical considerations and future directions.The objective is to provide students, researchers, educators and professionals with a conceptual foundation for understanding how predictive models are developed and used in real-world systems. Sprache: Englisch Gewicht in Gramm: 113. Artikel-Nr. IB-1610824
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