Deep Learning for Life Sciences: With Python Notebooks for Examples and Exercises
暫譯: 生命科學的深度學習：使用 Python 筆記本進行範例與練習
Biscarini, Filippo, Nazzicari, Nelson
- 出版商: Springer
- 出版日期: 2026-01-03
- 售價: $3,630
- 貴賓價: 9.5 折 $3,449
- 語言: 英文
- 頁數: 219
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031968514
- ISBN-13: 9783031968518
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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
Artificial intelligence is already ubiquitous in the life sciences, from cancer diagnosis to medical image analysis, from precision agriculture to wildlife monitoring. It is therefore essential for any scientist, especially life scientists, to have a basic understanding of deep learning, the statistical engine behind AI.
This book explains the theory behind neural networks and their internal workings in clear terms and with numerous examples. The authors cover the building blocks of neural networks, the mathematical theory, different types of network architectures, the problem of overfitting, and the strategies to avoid it. The most common data types encountered in biological problems are discussed, with suggestions on how to apply deep learning to different cases. Success and failure stories are presented through interviews with leading experts in the field.
The book is accompanied by several Python notebooks with practical examples and clearly commented code.
商品描述(中文翻譯)
人工智慧在生命科學領域已經無處不在，從癌症診斷到醫學影像分析，從精準農業到野生動物監測。因此，任何科學家，特別是生命科學家，都必須對深度學習有基本的了解，因為深度學習是人工智慧背後的統計引擎。
本書以清晰的術語和眾多範例解釋神經網絡的理論及其內部運作。作者涵蓋了神經網絡的基本構件、數學理論、不同類型的網絡架構、過擬合問題及其避免策略。書中討論了在生物問題中最常見的數據類型，並提供了如何將深度學習應用於不同案例的建議。成功與失敗的故事通過與該領域的領先專家的訪談呈現。
本書附有幾個包含實用範例和清晰註解代碼的 Python 筆記本。
作者簡介
Filippo Biscarini is a Senior Scientist at the CNR (Consiglio Nazionale delle Ricerche) in Milan, Italy. He holds a Ph.D. in Animal Breeding and Genomics from Wageningen University (The Netherlands). He has worked in several countries (Italy, Ireland, Canada, The Netherlands, Germany, Spain, UK, Belgium) for the industry, academic institutions and international organizations (European Union, United Nations). His research activities include bioinformatics and biostatistics applications in plant and animal sciences and in human medicine. He has coordinated several national and international research projects. Current research activities include neural network models for the analysis of genomic and phenomic data in agriculture, the analysis of the composition and role of microbiomes across life domains, and the development of predictive models for precision medicine.
Nelson Nazzicari is a Senior Scientist at CREA, Italy's largest agricultural research institute. He holds a Ph.D. in Informatics and Electrical Engineering from the University of Pavia (Italy), spent two years at George Mason University (VA, USA), taught programming at the University of Mantua and then transitioned from pure informatics to bioinformatics. Nelson is affiliated with the Faculty of Agriculture at the University of Zagreb (Croatia) and collaborates with the Netherlands Plant Eco-phenotyping Centre (Wageningen, NL). His current research focuses on genotype-phenotype modeling and the use of deep learning in precision agriculture.
作者簡介(中文翻譯)
Filippo Biscarini 是位於義大利米蘭的 CNR（國家研究委員會）高級科學家。他擁有荷蘭瓦赫寧根大學的動物繁殖與基因組學博士學位。他曾在多個國家（義大利、愛爾蘭、加拿大、荷蘭、德國、西班牙、英國、比利時）為產業、學術機構和國際組織（歐盟、聯合國）工作。他的研究活動包括在植物和動物科學以及人類醫學中的生物資訊學和生物統計學應用。他協調過多個國內和國際研究項目。目前的研究活動包括用於農業基因組和表型數據分析的神經網絡模型、生命領域中微生物組的組成和角色分析，以及精準醫療的預測模型開發。
Nelson Nazzicari 是義大利最大的農業研究機構 CREA 的高級科學家。他擁有義大利帕維亞大學的資訊學和電氣工程博士學位，曾在美國維吉尼亞州的喬治梅森大學待了兩年，並在曼圖亞大學教授程式設計，之後從純資訊學轉向生物資訊學。Nelson 與克羅埃西亞的薩格勒布大學農業學院有關聯，並與荷蘭植物生態表型中心（瓦赫寧根，荷蘭）合作。他目前的研究重點是基因型-表型建模以及在精準農業中使用深度學習。
