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Machine Learning for Robotics (First Early Release) - ebooks1001 - 01-30-2024
![[Image: efee3f5b3c56c1de84be0a6388e10c99.jpeg]](https://i122.fastpic.org/big/2024/0130/99/efee3f5b3c56c1de84be0a6388e10c99.jpeg)
Free Download Machine Learning for Robotics (First Early Release) by Alishba Imran
English | 2023 | ISBN: 9781098134242 | 78 pages | EPUB + MOBI | 9.00 Mb
Machine learning is the present and future of robotics, whether it's for self-driving vehicles, consumer robotics, or industrial manufacturing. Driven by breakthroughs in research and compute infrastructure, widespread deployment of huge neural nets, and end-to-end robotics tasks, the science and practice of robotics is in the midst of disruption from data-driven approaches such as deep learning and foundation models.
If you're a software or machine learning engineer looking to get into robotics, or a robotics engineer planning to deploy machine learning in your projects, this is your book.
You'll learn how to apply deep learning methods to robotics and approach core robotics technologies-perception, reasoning, and prediction-from a deep learning perspective. This guide explores state-of-the-art deep learning algorithms relevant to each core technology and shows you how to use them for real-world robotics. Relevant code samples demonstrate how to apply these algorithms.
You'll learn how to
Formulate robotics as a data-driven AI problem
Recognize the technology behind designing and deploying modern robotics: sensing, perception, training, and control
Apply state-of-the-art techniques in AI to robotics systems
Understand factors driving decision-making in technical design for several robotics applications
Design practical robotic systems for real-world applications: self-driving, prosthetics, and industrial automation
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