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SKU/Artículo: AMZ-B0DL2ZBNL2

Mastering Spam Detection with Machine Learning: Intelligent Spam Filtering: A Machine Learning Approach to Ham-Spam Detection

Detalles del producto

Disponibilidad:
En stock

Peso con empaque:
0.16 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

In the digital age, filtering out unwanted messages is more important than ever. Intelligent Spam Filtering: A Machine Learning Approach to Ham-Spam Detection dives deep into the world of email and message filtering using advanced machine learning techniques. This book provides an in-depth exploration of building a robust ham-spam detection system, leveraging algorithms like Naive Bayes, Support Vector Machines, and Neural Networks.From understanding the intricacies of data preprocessing and feature engineering to implementing and optimizing machine learning models, this guide offers practical insights and step-by-step instructions for creating efficient spam detection systems. With case studies and real-world examples, this book is a must-read for students, data scientists, and developers interested in natural language processing (NLP) and email security.By the end of this book, you will have a strong foundation in designing, training, and deploying ML-based ham-spam detection systems, ensuring enhanced security and user experience in your projects.

AR$20.526

60% OFF

AR$8.207

AR$20.526

60% OFF

AR$8.207

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