Catalog > Sciences > Math > Sujay Datta & George Michailidis: Introduction to Machine Learning and Bioinformatics (PDF)

Sujay Datta & George Michailidis
Introduction to Machine Learning and Bioinformatics [PDF ebook]

Support

Cover of Sujay Datta & George Michailidis: Introduction to Machine Learning and Bioinformatics (PDF)

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 & Bio

€61.76

Buy this ebook and get 1 more FREE!

Format PDF ● Pages 384 ● ISBN 9781420011784 ● Publisher CRC Press ● Published 2008 ● Downloadable 3 times ● Currency EUR ● ID 7123383 ● Copy protection Adobe DRM

Requires a DRM capable ebook reader

More ebooks from the same author(s) / Editor

Sujay Datta George Michailidis Sushmita Mitra Theodore Perkins USA) Datta Sujay (University of Akron

49,474 Ebooks in this category

Cover of Gary L. (The Pennsylvania State University, University Park, USA) Mullen & James A. (The Pennsylvania State University, University Park, USA) Sellers: Abstract Algebra

Gary L. (The Pennsylvania State University, University Park, USA) Mullen & James A. (The Pennsylvania State University, University Park, USA) Sellers: Abstract Algebra

Abstract Algebra: A Gentle Introduction advantages a trend in mathematics textbook publishing towards smaller, less expensive and brief introductions to primary courses. The authors move away from th …

Cover of COMAP: For All Practical Purposes

COMAP: For All Practical Purposes

Cover of Gyorgy Kiss & Tamas Szonyi: Finite Geometries

Gyorgy Kiss & Tamas Szonyi: Finite Geometries

Finite Geometries stands out from recent textbooks about the subject of finite geometries by having a broader scope. The authors thoroughly explain how the subject of finite geometries is a central p …

Cover of Oliver Linton: Mathematical Functions

Oliver Linton: Mathematical Functions

What is a mathematical function? Why are they so important? How does plotting the graph of a function help us understand it? And where do gradients, differentials and calculus fit in? In this unique …

Cover of Hadley Wickham: Advanced R, Second Edition

Hadley Wickham: Advanced R, Second Edition

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other langu …

Cover of Lakshmikantham: nonlinear analysis and applications

Lakshmikantham: nonlinear analysis and applications

This book attempts to put together the works of a wide range of mathematical scientists. It consists of the proceedings of the Seventh Conference on ‘Nonlinear Analysis and Applications’ including pa …

Cover of Dimitris Koukoulopoulos: Distribution of Prime Numbers

Dimitris Koukoulopoulos: Distribution of Prime Numbers

Prime numbers have fascinated mathematicians since the time of Euclid. This book presents some of our best tools to capture the properties of these fundamental objects, beginning with the most basic …

Cover of Hung Vinh Tran: Hamilton-Jacobi Equations

Hung Vinh Tran: Hamilton-Jacobi Equations

This book gives an extensive survey of many important topics in the theory of Hamilton-Jacobi equations with particular emphasis on modern approaches and viewpoints. Firstly, the basic well-posedness …

Cover of Ian Stewart: Galois Theory

Ian Stewart: Galois Theory

Since 1973, Galois theory has been educating undergraduate students on Galois groups and classical Galois theory. In Galois Theory, Fifth Edition , mathematician and popular science author Ian Stewar …

Cover of Robert DeHoff: Thermodynamics in Materials Science

Robert DeHoff: Thermodynamics in Materials Science

Thermodynamics in Materials Science, Second Edition is a clear presentation of how thermodynamic data is used to predict the behavior of a wide range of materials, a crucial component in the decision …