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
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.
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
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
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...
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