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Deep Learning for Biology Vital Source e-bog
Charles Ravarani og Natasha Latysheva
(2025)
O'Reilly Media, Inc
674,00 kr.
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Deep Learning for Biology
Harness AI to Solve Real-World Biology Problems
Charles Ravarani og Natasha Latysheva
(2025)
Sprog: Engelsk
O'Reilly Media, Incorporated
612,00 kr.
2 stk på lager
Hvor kan jeg afhente varen?Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: O'Reilly Media, Inc (Juli 2025)
- Forfattere: Charles Ravarani og Natasha Latysheva
- ISBN: 9781098167998
Bridge the gap between modern machine learning and real-world biology with this practical, project-driven guide. Whether your background is in biology, software engineering, or data science, Deep Learning for Biology gives you the tools to develop deep learning models for tackling a wide range of biological problems. Authors Charles Ravarani and Natasha Latysheva guide you through hands-on projects applying deep learning to domains like DNA, proteins, biological networks, medical images, and microscopy. Each chapter is a self-contained mini-project, with step-by-step explanations that teach you how to train and interpret deep learning models using real biological data. Build models for real-world biological problems such as gene regulation, protein function prediction, drug interactions, and cancer detection Apply architectures like convolutional neural networks, transformers, graph neural networks, and autoencoders Use Python and interactive notebooks for hands-on learning Build problem-solving intuition that generalizes beyond biology Whether you’re exploring new methods, transitioning into computational biology, or looking to make sense of machine learning in your field, this book offers a clear and approachable path forward.
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Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Paperback: 434 sider
- Udgiver: O'Reilly Media, Incorporated (August 2025)
- Forfattere: Charles Ravarani og Natasha Latysheva
- ISBN: 9781098168032
Bridge the gap between biology and cutting-edge machine learning techniques with this essential guide. Train and interpret deep learning models and answer fundamental biological questions. Whether your background is in biology, machine learning, or software engineering, this book empowers you with the practical skills needed for your deep learning journey.
Through step-by-step recipes, authors Natasha Latysheva and Charles Ravarani teach you to train models for tasks like understanding gene regulatory logic, uncovering insights about protein families, and exploring subcellular localization. Each chapter provides self-contained mini-projects that serve as templates for approaching complex biological problems.
By the end of this book, you'll be able to:
- Approach biological problems with a deep learning perspective
- Train and interpret deep learning models to explore complex biological data
- Leverage Python code and iPython notebooks to extend your projects
- Transform your insights into actionable solutions in medicine, genomics, and biotechnology
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