Name: Introduction to Machine Learning and Bioinformatics (Chapman & Hall (en Inglés)
Price: 81270.00 CLP
Availability: InStock
Author: Sushmita Mitra; Sujay Datta; Theodore Perkins; George Michailidis
ISBN: 9780367387235

portada Introduction to Machine Learning and Bioinformatics (Chapman & Hall (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Sushmita Mitra; Sujay Datta; Theodore Perkins; George Michailidis

Idioma

Inglés

N° páginas

384

Encuadernación

Tapa Blanda

ISBN13

9780367387235

N° edición

Introduction to Machine Learning and Bioinformatics (Chapman & Hall (en Inglés)

Sushmita Mitra; Sujay Datta; Theodore Perkins; George Michailidis (Autor) · Crc Pr Inc · Tapa Blanda

Libro Nuevo

$ 81.270

$ 112.880

Ahorras: $ 31.610

28% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 29 de Julio y el Martes 06 de Agosto.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Introduction to Machine Learning and Bioinformatics (Chapman & Hall (en Inglés)"

Lucidly Integrates Current ActivitiesFocusing 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.