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Artificial Intelligence and Machine Learning in Bioinformatics
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198 b
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Artificial Intelligence (AI) and Machine Learning (ML) are transforming science, industry, governance, and everyday life by shaping how data is analyzed, decisions are made, and solutions are developed. This book, Artificial Intelligence and Machine Learning, provides a clear, structured, and learner-centered guide that moves from foundational principles to advanced applications. It introduces core AI concepts, mathematical basics, Python programming, data analysis, feature engineering, and essential machine learning techniques, including supervised and unsupervised learning. Advanced topics such as deep learning, natural language processing, generative AI, large language models, and MLOps are explained in an accessible and practical manner. The book also addresses deployment, ethics, security, and the societal impact of AI, offering a complete lifecycle perspective. Designed for students, educators, researchers, and professionals, it emphasizes conceptual understanding, practical skills, and responsible AI use.
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