Machine Learning Methods for Ecological Applications Book

Machine Learning Methods for Ecological Applications, This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particula, Machine Learning Methods for Ecological Applications

3 out of 5 stars based on 2 reviews

Machine Learning Methods for Ecological Applications
Written by author Alan H. Fielding
Published by Springer-Verlag New York, LLC, August 1999
This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particula
The last 25 years have seen a tremendous growth in the application of statistical and modelling techniques to ecological problems. This expansion has been accelerated by the increasing availability of software, books and computing power. However, the suit

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Book Categories

Authors

Contributors
Preface
Acknowledgements
1 An introduction to machine learning methods 1
2 Artificial neural networks for pattern recognition 37
3 Tree-based methods 89
4 Genetic Algorithms I 107
5 Genetic Algorithms II 123
6 Cellular automata 145
7 Equation discovery with ecological applications 185
8 How should accuracy be measured? 209
9 Real learning 225
Author Index 247
Subject Index 255

Title: Machine Learning Methods for Ecological Applications

Manufacturer:

Steidl Publishing

Item Number: 9780412841903

Publication Date: August 1999

Number: 1

Product Description: Machine Learning Methods for Ecological Applications

Universal Product Code (UPC): 9780412841903

WonderClub Stock Keeping Unit (WSKU): 9780412841903

Rating: 3/5 based on 2 Reviews

Image Location: https://wonderclub.com/images/covers/19/03/9780412841903.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 9.210 cm (3.63 inches)

Heigh : 6.140 cm (2.42 inches)

Depth: 0.690 cm (0.27 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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$175.68	Digital	Arrives between May 14 - Jun 13 Login to your account for a direct download. Some files are emailed from Dropbox. Continent $0.00 - World $0.00	WonderClub (9297 total ratings)

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David Popiak

reviewed Machine Learning Methods for Ecological Applications on February 05, 2019

Machine Learning Methods for Ecological Applications

This is a great book with horrible notations... The notation (i.e. formulas, equations, variable names and math) is so strange that, you struggle with the concepts you know... let alone complicated concepts that you don't...

Descriptions and the text is excellent though...

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Machine Learning Methods for Ecological Applications, This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particula, Machine Learning Methods for Ecological Applications

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Add Machine Learning Methods for Ecological Applications, This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particula, Machine Learning Methods for Ecological Applications to your collection on WonderClub

Machine Learning Methods for Ecological Applications Book

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Steidl Publishing

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	Contributors
	Preface
	Acknowledgements
1	An introduction to machine learning methods	1
2	Artificial neural networks for pattern recognition	37
3	Tree-based methods	89
4	Genetic Algorithms I	107
5	Genetic Algorithms II	123
6	Cellular automata	145
7	Equation discovery with ecological applications	185
8	How should accuracy be measured?	209
9	Real learning	225
	Author Index	247
	Subject Index	255