Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences - Image 1

£96.59

Wiley Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences

Name: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences
Brand: Wiley
Price: 96.59 GBP
Availability: InStock

Higher Education

It has never been this cheap. We have no record of a lower price.

£97 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 50 days · 50 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 50 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £97 (35 days, 70.0%)

Price range: £97 - £107

Price levels: 3 different prices over 50 days

Description

DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.

Product Specifications

Brand: Wiley
Format: hardcover
ASIN: 1119646146
Category: Books > Subjects > Science, Nature & Maths > Earth Sciences > Education > Higher Education
Domain: Amazon UK
Release Date: 26 August 2021
Listed Since: 03 March 2021

Barcode

No barcode data available

Wiley Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Deep Learning for Multi-Sensor Earth Observation

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python

Springer Deep Learning: Algorithms and Applications 865 Book

Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges (Computing and Networks)

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Deep Learning for Remote Sensing Images with Open Source Software (Signal and Image Processing of Earth Observations)

Large-Scale Machine Learning in the Earth Sciences - CRC Press

Advances in Machine Learning and Image Analysis for GeoAI

Object and Pattern Recognition in Remote Sensing: Modelling and Monitoring Environmental and Anthropogenic Objects and Change Processes

Multitemporal Remote Sensing: Methods and Applications: 20 (Remote Sensing and Digital Image Processing, 20)

CRC Press Fundamentals of Satellite Remote Sensing Book

TORUS 2 - Toward an Open Resource Using Services: Cloud Computing for Environmental Data (Computer Engineering)

Penguin Random House Deep Learning (Adaptive Computation and Machine Learning series)

Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications: 18 (Learning and Analytics in Intelligent Systems, 18)

Applications of Artificial Intelligence for Smart Technology (Advances in Computational Intelligence and Robotics)

Technological Innovations in Knowledge Management and Decision Support (Advances in Knowledge Acquisition, Transfer, and Management)

TORUS 3 - Toward an Open Resource Using Services: Cloud Computing for Environmental Data

Springer Deep Learning in Healthcare: Paradigms and Applications

A Beginner’s Guide to Image Preprocessing Techniques (Intelligent Signal Processing and Data Analysis)

Remote Sensing and Digital Image Processing with R - Textbook and Lab Manual

Deep Learning: A Visual Approach

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems: 1

GeoAI with Python: A Practical Guide to Open-Source Geospatial AI

CRC Press - Spatial Decision Support Systems: Principles and Practices