Deep Learning for Life Sciences

Bibliographic Details
Title: Deep Learning for Life Sciences
Description: 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.
Authors: Filippo Biscarini, Nelson Nazzicari
Resource Type: eBook.
Categories: SCIENCE / Life Sciences / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 4391098
RelevancyScore: 987
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 987.310668945313
IllustrationInfo
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  Label: Title
  Group: Ti
  Data: Deep Learning for Life Sciences
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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.
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  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Filippo+Biscarini%22">Filippo Biscarini</searchLink><br /><searchLink fieldCode="AR" term="%22Nelson+Nazzicari%22">Nelson Nazzicari</searchLink>
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  Data: eBook.
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  Label: Categories
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  Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+General%22">SCIENCE / Life Sciences / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Languages+%2F+Python%22">COMPUTERS / Languages / Python</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4391098
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Deep Learning for Life Sciences
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Filippo Biscarini
      – PersonEntity:
          Name:
            NameFull: Nelson Nazzicari
      – PersonEntity:
          Name:
            NameFull: Filippo Biscarini
      – PersonEntity:
          Name:
            NameFull: Nelson Nazzicari
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: isbn-print
              Value: 9783031968518
            – Type: isbn-electronic
              Value: 9783031968525
          Titles:
            – TitleFull: Deep Learning for Life Sciences
              Type: main
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