000			01485nam a22002177a 4500
003			OSt
005			20260723092715.0
008			260723b |||||||| |||| 00| 0 eng d
020			_a9783031222085
020			_a3031222083
041			_aeng
082			_a570.28563 BAD-G
245			_aA guide to applied machine learning for biologists
260			_aSwitzerland; _bSpringer, _c2023.
300			_axiv, 262p.
520			_aThis 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.
650			_aBiology _xArtificial Intelligence _990579
700			_aBadar Mohammad "Sufian" , ed. _990580
942			_cBK
999			_c200840 _d200840