Daniel Situnayake is head of machine learning at Edge Impulse, where he leads embedded machine learning R&D. Jenny Plunkett, senior developer relations engineer at Edge Impulse, is a technical speaker, developer evangelist, and technical content creator.
AI at the Edge. Solving Real World Problems with Embedded Machine Learning
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- Nombre de pages487
- FormatGrand Format
- PrésentationBroché
- Poids0.895 kg
- Dimensions18,0 cm × 23,0 cm × 2,5 cm
- ISBN978-1-0981-2020-7
- EAN9781098120207
- Date de parution01/01/2023
- ÉditeurO'Reilly
- PréfacierPete Warden
Résumé
Edge Al is transforming the way computers interact with the real world, allowing loT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target-from ultra-low power microcontrollers to embedded Linux devices. This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge Al.
You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge Al and embedded ML products. Edge Al is destined to become a standard tool for systems engineers. This high-level road map helps you get started. - Develop your expertise in Al and ML for edge devices - Understand which projects are best solved with edge Al - Explore key design patterns for edge Al apps - Learn an iterative workflow for developing Al systems - Build a team with the skills to solve real-world problems - Follow a responsible Al process to create effective products.
You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge Al and embedded ML products. Edge Al is destined to become a standard tool for systems engineers. This high-level road map helps you get started. - Develop your expertise in Al and ML for edge devices - Understand which projects are best solved with edge Al - Explore key design patterns for edge Al apps - Learn an iterative workflow for developing Al systems - Build a team with the skills to solve real-world problems - Follow a responsible Al process to create effective products.