Complete Guide Machine Learning by Lakshmi Prasad (5 results)

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  • Language: English

    Published by Notion Press, 2026

    9798901767221

    • Softcover

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  • Language: English

    Published by Notion Press Media Pvt. Ltd, 2026

    9798901767221

    • Softcover

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    PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

  • Language: English

    Published by Notion Press Media Pvt. Ltd, 2026

    9798901767221

    • Softcover

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    PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

  • Language: English

    Published by Notion Press Media Pvt. Ltd Jan 2026, 2026

    9798901767221

    • Softcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. Neuware - Artificial Intelligence is transforming how we discover, develop, and deliver medicines. Using Machine Learning in Drug Discovery and Development offers a powerful and practical roadmap for pharmaceutical and biotech professionals to navigate this transformation with confidence.

  • Language: English

    Published by Notion Press, 2026

    9798901767221

    • Softcover
    • Print on Demand

    Seller: CitiRetail, Stevenage, United KingdomCitiRetail

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    Paperback. Condition: new. Paperback. Artificial Intelligence is transforming how we discover, develop, and deliver medicines. Using Machine Learning in Drug Discovery and Development offers a powerful and practical roadmap for pharmaceutical and biotech professionals to navigate this transformation with confidence.Authored by a globally recognized expert with over 25 years of experience in AI, machine learning, and drug development, this book blends scientific depth with real-world insight. It guides readers through every stage of the drug lifecycle - from molecular discovery and lead optimization to clinical trials, regulatory decision-making, and post-launch monitoring - showing how machine learning accelerates innovation while upholding scientific and ethical integrity.Through clear explanations, relatable analogies, and thought-provoking examples, the book transforms complex algorithms into intuitive concepts. Each chapter bridges data science and pharmacology, preparing readers to apply AI techniques responsibly and effectively in real-world scenarios.Perfect for scientists, data professionals, and life science leaders alike, this is more than a guide - it's a blueprint for the intelligent, ethical, and collaborative future of pharmaceutical innovation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.