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This edition delves into the evolving field of lifelong machine learning, emphasizing its significance in developing systems that learn continuously from data over time. It covers foundational concepts, advanced techniques, and real-world applications, making it suitable for both researchers and practitioners. The book highlights the challenges of maintaining and improving learning systems in dynamic environments and discusses strategies for effective knowledge transfer and adaptation. Enhanced with updated examples and case studies, it serves as a comprehensive resource for understanding lifelong learning in AI.
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Lifelong Machine Learning, Second Edition, Bing Liu, Zhiyuan Chen
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- 2018
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