Machine Learning Basics: Building Intelligent Systems - K, Nandini;J, Mary Stella
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_Machine Learning Basics: Building Intelligent Systems_ is a foundational guide to understanding the principles and practices of machine learning. It covers core concepts such as supervised and unsupervised learning, data preprocessing, model selection, and evaluation. The book emphasizes practical applications, offering step-by-step explanations for implementing algorithms like decision trees, neural networks, and clustering methods. With a focus on problem-solving, it bridges theoretical knowledge and real-world use cases, making it an accessible resource for beginners and a solid refresher for experienced practitioners.…mehr

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Produktbeschreibung
_Machine Learning Basics: Building Intelligent Systems_ is a foundational guide to understanding the principles and practices of machine learning. It covers core concepts such as supervised and unsupervised learning, data preprocessing, model selection, and evaluation. The book emphasizes practical applications, offering step-by-step explanations for implementing algorithms like decision trees, neural networks, and clustering methods. With a focus on problem-solving, it bridges theoretical knowledge and real-world use cases, making it an accessible resource for beginners and a solid refresher for experienced practitioners.
Autorenporträt
Authors: Nandini K and Mary Stella J are working as Assistant Professor in the Department of Computer Science and Engineering, HKBK College of Engineering, Bangalore, Karnataka, India. Authors are pursuing their research on Machine learning and Artificial Intelligence.