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A Guide to Applied Machine Learning for Biologists

Engelsk Hardback

A Guide to Applied Machine Learning for Biologists

Engelsk Hardback
Tjek vores konkurrenters priser

This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. 

This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.
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Tjek vores konkurrenters priser

This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. 

This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.
Produktdetaljer
Sprog: Engelsk
Sider: 262
ISBN-13: 9783031222054
Indbinding: Hardback
Udgave:
ISBN-10: 3031222059
Kategori: Machine learning
Udg. Dato: 22 jun 2023
Længde: 25mm
Bredde: 242mm
Højde: 161mm
Forlag: Springer International Publishing AG
Oplagsdato: 22 jun 2023
Forfatter(e):
Forfatter(e)


Kategori Machine learning


ISBN-13 9783031222054


Sprog Engelsk


Indbinding Hardback


Sider 262


Udgave


Længde 25mm


Bredde 242mm


Højde 161mm


Udg. Dato 22 jun 2023


Oplagsdato 22 jun 2023


Forlag Springer International Publishing AG

Kategori sammenhænge