Artificial Intelligence in the Lab: A Deep Learning Researcher's Starter Pack" is a practical and beginner-friendly guide that bridges deep learning with molecular biology research. It is designed for biology researchers, students, and early-stage AI enthusiasts who want to apply deep learning to biological sequences, structure prediction, and functional genomics. The book covers essential foundations of deep learning, experimental design, model building, evaluation, and real-world biological applications, including sequence analysis, protein structure prediction, and generative modeling. With clear explanations, hands-on code examples, and valuable research advice, this book empowers researchers to confidently integrate AI into their molecular biology projects.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Intelligence in the Lab: A Deep Learning Researcher's Starter Pack' is a practical and beginner-friendly guide that bridges deep learning with molecular biology research. It is designed for biology researchers, students, and early-stage AI enthusiasts who want to apply deep learning to biological sequences, structure prediction, and functional genomics. The book covers essential foundations of deep learning, experimental design, model building, evaluation, and real-world biological applications, including sequence analysis, protein structure prediction, and generative modeling. With clear explanations, hands-on code examples, and valuable research advice, this book empowers researchers to confidently integrate AI into their molecular biology projects. 100 pp. Englisch. Nº de ref. del artículo: 9786205640777
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence in the Lab: A Deep Learning Researcher's Starter Pack' is a practical and beginner-friendly guide that bridges deep learning with molecular biology research. It is designed for biology researchers, students, and early-stage AI enthusiasts who want to apply deep learning to biological sequences, structure prediction, and functional genomics. The book covers essential foundations of deep learning, experimental design, model building, evaluation, and real-world biological applications, including sequence analysis, protein structure prediction, and generative modeling. With clear explanations, hands-on code examples, and valuable research advice, this book empowers researchers to confidently integrate AI into their molecular biology projects. Nº de ref. del artículo: 9786205640777
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