Introduction to Machine Learning and Bioinformatics is popular PDF and ePub book, written by Sushmita Mitra in 2008-06-05, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Introduction to Machine Learning and Bioinformatics can be Read Online from any device for your convenience.
Introduction to Machine Learning and Bioinformatics Book PDF Summary
Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bioinformatics The book begins with a brief historical overview of the technological developments in biology. It then describes the main problems in bioinformatics and the fundamental concepts and algorithms of machine learning. After forming this foundation, the authors explore how machine learning techniques apply to bioinformatics problems, such as electron density map interpretation, biclustering, DNA sequence analysis, and tumor classification. They also include exercises at the end of some chapters and offer supplementary materials on their website. Explores How Machine Learning Techniques Can Help Solve Bioinformatics Problems Shedding light on aspects of both machine learning and bioinformatics, this text shows how the innovative tools and techniques of machine learning help extract knowledge from the deluge of information produced by today’s biological experiments.
Detail Book of Introduction to Machine Learning and Bioinformatics PDF
- Author : Sushmita Mitra
- Release : 05 June 2008
- Publisher : CRC Press
- ISBN : 9781420011784
- Genre : Mathematics
- Total Page : 384 pages
- Language : English
- PDF File Size : 7,8 Mb
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