A Guide to Applied Machine Learning for Biologists

A Guide to Applied Machine Learning for Biologists
Author :
Publisher : Springer Nature
Total Pages : 273
Release :
ISBN-13 : 9783031222061
ISBN-10 : 3031222067
Rating : 4/5 (67 Downloads)

Book Synopsis A Guide to Applied Machine Learning for Biologists by : Mohammad "Sufian" Badar

Download or read book A Guide to Applied Machine Learning for Biologists written by Mohammad "Sufian" Badar and published by Springer Nature. This book was released on 2023-06-21 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


A Guide to Applied Machine Learning for Biologists Related Books

A Guide to Applied Machine Learning for Biologists
Language: en
Pages: 273
Authors: Mohammad "Sufian" Badar
Categories: Science
Type: BOOK - Published: 2023-06-21 - Publisher: Springer Nature

DOWNLOAD EBOOK

This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of moder
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Bioinformatics
Language: en
Pages: 351
Authors: Pierre Baldi
Categories: Biomolecules
Type: BOOK - Published: 1998 - Publisher: MIT Press (MA)

DOWNLOAD EBOOK

An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biolo
Python Programming for Biology
Language: en
Pages: 721
Authors: Tim J. Stevens
Categories: Science
Type: BOOK - Published: 2015-02-12 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more ab
Probably Approximately Correct
Language: en
Pages: 210
Authors: Leslie Valiant
Categories: Science
Type: BOOK - Published: 2013-06-04 - Publisher: Basic Books (AZ)

DOWNLOAD EBOOK

Presenting a theory of the theoryless, a computer scientist provides a model of how effective behavior can be learned even in a world as complex as our own, she