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Machine Learning in Geosciences - by  Dilan Thomas (Hardcover) - 1 of 1

Machine Learning in Geosciences - by Dilan Thomas (Hardcover)

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Highlights

  • Machine learning is an advanced field of data analytics that teaches computers to learn from their experiences similar to humans and animals.
  • Author(s): Dilan Thomas
  • 249 Pages
  • Science, Earth Sciences

Description



About the Book



Machine learning is an advanced field of data analytics that teaches computers to learn from their experiences similar to humans and animals. It utilizes two techniques, namely, unsupervised learning and supervised learning. The former makes use of the internal structures or hidden patterns in the input data whereas the latter involves training a model using known input and output data for predicting the future outcomes. Geoscience refers to the study of the Earth and all its natural structures and phenomena including oceans, atmosphere, rivers and lakes, ice sheets and glaciers, soils, complex surface, and rocky interior. Geographic information systems (GISs) are used extensively in studying the Earth. Machine learning is being used in GIS for segmentation, classification and prediction. Machine learning combined with remote sensing can enhance the automation of data analysis, uncover novel insights from large data sets, predict the behavior of environmental systems and lead to better management of resources. This book is a compilation of chapters that discuss the most vital concepts and emerging trends in the use of machine learning in geosciences. It will provide comprehensive knowledge to the readers.



Book Synopsis



Machine learning is an advanced field of data analytics that teaches computers to learn from their experiences similar to humans and animals. It utilizes two techniques, namely, unsupervised learning and supervised learning. The former makes use of the internal structures or hidden patterns in the input data whereas the latter involves training a model using known input and output data for predicting the future outcomes. Geoscience refers to the study of the Earth and all its natural structures and phenomena including oceans, atmosphere, rivers and lakes, ice sheets and glaciers, soils, complex surface, and rocky interior. Geographic information systems (GISs) are used extensively in studying the Earth. Machine learning is being used in GIS for segmentation, classification and prediction. Machine learning combined with remote sensing can enhance the automation of data analysis, uncover novel insights from large data sets, predict the behavior of environmental systems and lead to better management of resources. This book is a compilation of chapters that discuss the most vital concepts and emerging trends in the use of machine learning in geosciences. It will provide comprehensive knowledge to the readers.
Dimensions (Overall): 11.0 Inches (H) x 8.5 Inches (W) x .63 Inches (D)
Weight: 1.92 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 249
Genre: Science
Sub-Genre: Earth Sciences
Publisher: Larsen and Keller Education
Theme: General
Format: Hardcover
Author: Dilan Thomas
Language: English
Street Date: September 26, 2023
TCIN: 1004855720
UPC: 9798888360736
Item Number (DPCI): 247-03-8550
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.63 inches length x 8.5 inches width x 11 inches height
Estimated ship weight: 1.92 pounds
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