Machine Learning for Complex and Unmanned Systems

BOOKS - Machine Learning for Complex and Unmanned Systems

Machine Learning for Complex and Unmanned Systems - Jose Martinez-Carranza, Everardo Inzunza-Gonzalez, Enrique Efren Garcia-Guerrero 2024 PDF CRC Press BOOKS

ECO~15 kg CO²

1 TON

71558

Machine Learning for Complex and Unmanned Systems

Author: Jose Martinez-Carranza, Everardo Inzunza-Gonzalez, Enrique Efren Garcia-Guerrero
Year: 2024
Pages: 386
Format: PDF
File size: 25.4 MB
Language: ENG

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The book "Machine Learning for Complex and Unmanned Systems" by Dr. Suresh Venkatasubramanian and Dr. Jesse Berry provides a comprehensive overview of the field of machine learning and its applications in complex and unmanned systems. The book covers topics such as supervised and unsupervised learning, deep learning, reinforcement learning, and transfer learning, as well as their applications in areas such as robotics, autonomous vehicles, and smart cities. It also discusses the challenges and limitations of these techniques and how they can be addressed through careful design and implementation. The book begins by introducing the concept of machine learning and its importance in today's technology-driven world. It highlights the need to study and understand the process of technological evolution, particularly in the field of artificial intelligence (AI), which has the potential to revolutionize many aspects of our lives. The authors argue that developing a personal paradigm for perceiving the technological process of developing modern knowledge is essential for survival in a rapidly changing world.

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