This book is designed as a practical and application-oriented introduction to machine learning, with a strong focus on real-world domains such as financial fraud detection, medical diagnosis, and customer analytics. Rather than presenting machine learning only through theory, the book emphasizes hands-on learning, real datasets, and practical scenarios that allow readers to understand how machine learning techniques are implemented in real environments.
The chapters are structured in a progressive manner so that readers can move from foundational concepts to more advanced applications and practical implementations. Each chapter combines conceptual explanations, diagrams, case studies, and Python-based exercises so that readers can develop both theoretical understanding and practical skills.
The book currently consists of nine chapters, each designed to address a specific aspect of machine learning and its applications.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 53664749-n
Quantità: Più di 20 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 53664749
Quantità: Più di 20 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 53664749
Quantità: Più di 20 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 53664749-n
Quantità: Più di 20 disponibili