A guide to applied machine learning for biologists

Contributor(s):

Badar Mohammad "Sufian" , ed

Material type: Text

TextLanguage: English Publication details: Switzerland; Springer, 2023.Description: xiv, 262pISBN:

9783031222085
3031222083

Subject(s):

Biology -- Artificial Intelligence

DDC classification:

570.28563 BAD-G

Summary: 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.

Item type: Books and Monographs

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 1 )

Holdings
Item type	Current library	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Books and Monographs	Central Library, NIT Jalandhar General Stacks	Central Library, NIT Jalandhar	Biotechnology	570.28563 BAD-G (Browse shelf(Opens below))		Available		103079

Browsing Central Library, NIT Jalandhar shelves, Shelving location: General Stacks, Collection: Biotechnology Close shelf browser (Hides shelf browser)

							Next
	363.70028563 SAT-A AI for climate change and environmental sustainability	570.285 RAM-D Deep learning for the life sciences : applying deep learning to genomics, microscopy, drug discovery, and more	570.28563 BAD-G A guide to applied machine learning for biologists	572.8 ALB-M Molecular biology of the cell	572.80285 ASI-A Artificial intelligence for molecular biology : advanced methods and applications	576.5 STR-G Genetics	Next

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.

Print
Suggest for purchase
Send to device
More searches

Search for this title in:
Other Libraries (WorldCat) Other Databases (Google Scholar) Online Stores (Bookfinder.com) Open Library (openlibrary.org)