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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Mohammad Ajmal Ali is a plant molecular taxonomist at King Saud University specializing in genomics and bioinformatics. Sagar Shinde is a Data Scientist focused on AI/ML solutions. Rajesh Mahato is a senior bioinformatician expert in NGS, genomics pipelines, and training.
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Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786209565540
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Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209565540
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Taschenbuch. Zustand: Neu. Artificial Intelligence and Machine Learning in Bioinformatics | Fundamental Notes For Beginners | Mohammad Ajmal Ali (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209565540 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 134596977
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Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9786209565540
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 264 pp. Englisch. Bestandsnummer des Verkäufers 9786209565540
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