Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition provides a comprehensive introduction to machine learning and data mining, combining theoretical foundations with practical applications. The book explains essential concepts such as data preprocessing, model evaluation, probabilistic models, performance improvement techniques, and modern machine learning algorithms. Updated with recent advances in deep learning, generative AI, large language models, and ethical AI, it also covers technologies such as GANs, VAEs, transformers, BERT, GPT models, and adversarial learning. Through practical examples, exercises, and the use of the WEKA machine learning workbench, the book helps readers develop the skills needed to apply machine learning techniques effectively in real-world data mining projects.

Chỉ số ISBN:	9780443158889
Mã ngôn ngữ:	eng
Chỉ số phân loại:	006.31
Tác giả:	Witten, Ian H Foulds, James R Frank, Eibe Hall, Mark A Pal, Christopher J
Thông tin nhan đề:	Data Mining: Practical Machine Learning Tools and Techniques
Xuẩt bản,phát hành:	5th ed..-Cambridge, MA Morgan Kaufmann 2023.
Mô tả vật lý:	760p.
Từ khóa:	Data mining.. Database management. Machine learning

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