Predictive Analytics using MATLAB(R) for Biomedical Applications is a comprehensive and practical guide for biomedical engineers, data scientists, and researchers on how to use predictive analytics techniques in MATLAB(R) for solving real-world biomedical problems.  Meer

Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and Natural Language Processing Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing Discovers deep learning frameworks and libraries for NLP, Speech and Computer vision in Python Gives insights into using the tools and libraries in python for real-world applications.  Meer

This book constitutes state-of-the-art research covering a wide range of topics including climate change and carbon emissions, air quality and pollution control, urbanism, land and circular economy, sustainable transport, energy, water, biodiversity and greenery, environmental services, housing, and construction with respect to the built environment.  Meer