Exploring Psychology, Social Innovation and Advanced Applications of Machine Learning

Exploring Psychology, Social Innovation and Advanced Applications of Machine Learning

Maria E. Raygoza-L, Jesus Heriberto Orduño-Osuna, Abelardo Mercado-Herrera, Roxana Jimenez-Sanchez, Fabian N. Murrieta-Rico
Pages: 300
DOI: 10.4018/979-8-3693-6910-4
ISBN13: 9798369369104|ISBN13 Softcover: 9798369369111|EISBN13: 9798369369128
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Description & Coverage
Description:

The publication of this book aims to offer extensive research in the field of machine learning and its various applications in society, this, by providing a general introduction to this topic and exploring its advanced applications in various fields.

Simultaneously, it seeks to generate research for future applications of machine learning algorithms to better understand human behavior in its various developmental stages and to assist in addressing psychological issues, by exploring the applications of machine learning in the realm of mental health and well-being, including early detection of disorders and customization of treatments, as well as how algorithms can personalize recommendations and suggestions based on user behavior, focusing on user experience and usability, also aiming to address challenges faced by private enterprises and social issues.

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Editor/Author Biographies
Abelardo Mercado Herrera is a Doctor of Science and Master of Science from the National Institute of Astrophysics, Optics and Electronics, specializing in Astrophysics, Postdoctorate in Astrophysics from the Institute of Astronomy of the National Autonomous University of Mexico, Electronics Engineer from the Autonomous University of Baja California . He is a specialist in the mathematical-statistical description of stochastic and/or deterministic processes, nonlinear systems, complex systems, chaos theory, among others, as well as their application to physical phenomena such as astronomy, economics, finance, telecommunications, science social etc., in order to determine the underlying dynamics in such processes, and if necessary, their connection with real physical variables and possible prediction. He has worked on the development of various electronic circuits, interfaces and programs to carry out electrical tests in the industry, as well as in scientific instrumentation, applied to telemetry, infrared polarimetry, optics and spectroscopy. He has also specialized in image analysis, measurement techniques and noise reduction.
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