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Python for Finance: Mastering Data-Driven Finance
Python for Finance: Mastering Data-Driven Finance

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands on book helps you get started with the language, guiding developers and...

The Image Processing Handbook, Sixth Edition
The Image Processing Handbook, Sixth Edition

Image processing is used in a wide variety of applications, for two somewhat different purposes:

1. improving the visual appearance of images to a human observer, including their printing and transmission, and

2. preparing images for the measurement of the features and structures which they reveal.

The...

Coral Reef Remote Sensing: A Guide for Mapping, Monitoring and Management
Coral Reef Remote Sensing: A Guide for Mapping, Monitoring and Management

Remote sensing stands as the defining technology in our ability to monitor coral reefs, as well as their biophysical properties and associated processes, at regional to global scales. With overwhelming evidence that much of Earth’s reefs are in decline, our need for large-scale, repeatable assessments of reefs has never been so great....

R Deep Learning Essentials
R Deep Learning Essentials

Key Features

  • Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
  • Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
  • Build models relating to neural...
Applied Corporate Finance: Questions, Problems and Making Decisions in the Real World
Applied Corporate Finance: Questions, Problems and Making Decisions in the Real World

Applied Corporate Finance fills a gap in the existing resources available to students and professionals needing an academically rigorous, yet practically orientated, source of knowledge about corporate finance. Written by an expert in investment analysis, this textbook leads readers to truly understand the principles behind corporate...

Two-Dimensional Change Detection Methods: Remote Sensing Applications (SpringerBriefs in Computer Science)
Two-Dimensional Change Detection Methods: Remote Sensing Applications (SpringerBriefs in Computer Science)

Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based,...

Remote Sensing Monitoring and Evaluation of Degraded Grassland in China: Accounting of Grassland Carbon Source and Carbon Sink (Springer Geography)
Remote Sensing Monitoring and Evaluation of Degraded Grassland in China: Accounting of Grassland Carbon Source and Carbon Sink (Springer Geography)
This book focuses on grassland ecosystem evaluation including vegetation coverage, net primary productivity, carbon sink accounting, and grassland degradation evaluation based on mutual data resource, ecosystem model simulation, remote sensing monitoring and driving mechanism exploration. It aims to provide a guide seeking to understand the...
Quantitative Remote Sensing in Thermal Infrared: Theory and Applications (Springer Remote Sensing/Photogrammetry)
Quantitative Remote Sensing in Thermal Infrared: Theory and Applications (Springer Remote Sensing/Photogrammetry)
Remote sensing, by definition, is the acquisition of information about objects or events without making physical contact. In the broad usage, remote sensing refers to the use of both the force fields (such as gravity and magnetism) and electromagnetic spectrum to detect, classify, and identify the objects or events. In the...
Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner...
Multivariate Time Series Analysis: With R and Financial Applications
Multivariate Time Series Analysis: With R and Financial Applications

An accessible guide to the multivariate time series tools used in numerous real-world applications

Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a...

Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis: An Introduction

Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless...

Sensory Linguistics: Language, perception and metaphor (Converging Evidence in Language and Communication Research)
Sensory Linguistics: Language, perception and metaphor (Converging Evidence in Language and Communication Research)
One of the most fundamental capacities of language is the ability to express what speakers see, hear, feel, taste, and smell. Sensory Linguistics is the interdisciplinary study of how language relates to the senses. This book deals with such foundational questions as: Which semiotic strategies do speakers use to express sensory...
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