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

Views
71562

Telegram
 
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



Pay with Telegram STARS
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.
''

You may also be interested in:

Modern Approaches in Machine Learning v.4
Machine Learning for Healthcare Applications
Handbook of Evolutionary Machine Learning
Statistical Prediction and Machine Learning
Machine Learning for Physics and Astronomy
Machine Learning for Subsurface Characterization
Applied Machine Learning Using mlr3 in R
Machine Learning in Python for Process
Recent Advances in Machine Learning
Machine Learning Engineering in Action
Artificial Intelligence and Machine Learning
Python Tour In Machine Learning
Adversarial Robustness for Machine Learning
Machine Learning in 2D Materials Science
An Introduction to Machine Learning Interpretability
Data Science and Machine Learning
Machine Learning with SAS Viya
Machine Learning for Absolute Beginners
Machine Learning for Causal Inference
Applied Machine Learning Using mlr3 in R
Industrial Applications of Machine Learning
Machine Learning for Planetary Science
Automated Machine Learning in Action
Machine Learning With Python Programming
Art in the Age of Machine Learning
Zero to Hero in Machine Learning Part 1
Machine Learning for Decision Makers, 2 Ed
Statistical Prediction and Machine Learning
Machine Learning and Wireless Communications
Training Data for Machine Learning
Mitigating Bias in Machine Learning
Machine Learning for Cyber Security
A Concise Introduction to Machine Learning
Machine Learning for iOS Developers
Model-Based Machine Learning
Probabilistic Machine Learning An Introduction
Applied Machine Learning and AI for Engineers
Privacy-Preserving Machine Learning
Machine Learning in 2D Materials Science
The Latest Research AI and Machine Learning