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Beschreibung

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

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
Über den Autor
Charles Ravarani is a biologist and software engineer who is currently Chief Technology Officer at [...], a computational drug discovery startup. He completed his PhD and post-doc in computational biology at the University of Cambridge, and in addition to his outstanding academic contributions, Charles is a software development veteran, has consulted various organizations, and has a passion for teaching programming and machine learning topics.
Details
Erscheinungsjahr: 2025
Fachbereich: Allgemeines
Genre: Biologie, Importe
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781098168032
ISBN-10: 1098168038
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Ravarani, Charles
Latysheva, Natasha
Hersteller: O'Reilly Media
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 234 x 179 x 29 mm
Von/Mit: Charles Ravarani (u. a.)
Erscheinungsdatum: 01.08.2025
Gewicht: 0,738 kg
Artikel-ID: 133731552

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