Deep Learning for Biology: Harness AI to Solve Real-World Biology Problems
暫譯: 生物學的深度學習:利用AI解決現實世界的生物學問題
Ravarani, Charles, Latysheva, Natasha
- 出版商: O'Reilly
- 出版日期: 2025-08-26
- 售價: $2,250
- 貴賓價: 9.5 折 $2,138
- 語言: 英文
- 頁數: 300
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1098168038
- ISBN-13: 9781098168032
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相關分類:
DeepLearning、Python
海外代購書籍(需單獨結帳)
相關主題
商品描述
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
商品描述(中文翻譯)
橋接生物學與尖端機器學習技術之間的鴻溝,這本必備指南將為您提供幫助。訓練和解釋深度學習模型,並回答基本的生物學問題。無論您的背景是生物學、機器學習還是軟體工程,本書都將賦予您在深度學習旅程中所需的實用技能。
透過逐步的食譜,作者 Natasha Latysheva 和 Charles Ravarani 教您如何訓練模型以完成如理解基因調控邏輯、揭示蛋白質家族的見解以及探索亞細胞定位等任務。每一章都提供獨立的小型專案,作為解決複雜生物問題的範本。
在本書結束時,您將能夠:
- 以深度學習的視角來處理生物問題
- 訓練和解釋深度學習模型,以探索複雜的生物數據
- 利用 Python 代碼和 iPython 筆記本來擴展您的專案
- 將您的見解轉化為醫學、基因組學和生物技術中的可行解決方案