Name: Ai at the Edge: Solving Real World Problems With Embedded Machine Learning (en Inglés)
Price: 229.16 PEN
Availability: InStock
Author: Situnayake, Daniel ; Plunkett, Jenny
ISBN: 9781098120207

portada Ai at the Edge: Solving Real World Problems With Embedded Machine Learning (en Inglés)

Formato

Libro Físico

Autor

Daniel Situnayake

Jenny Plunkett

Editorial

O'Reilly Media

Año

2023

Idioma

Inglés

N° páginas

300

Encuadernación

Tapa Blanda

Dimensiones

23.1 x 17.8 x 3.0 cm

Peso

0.82 kg.

ISBN13

9781098120207

N° edición

Categorías

Machine learning: aprendizaje automático
Reconocimiento de formas
Visión por ordenador
Procesamiento de imágenes

Ai at the Edge: Solving Real World Problems With Embedded Machine Learning (en Inglés)

Daniel Situnayake (Autor) · Jenny Plunkett (Autor) · O'Reilly Media · Tapa Blanda

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Reseña del libro "Ai at the Edge: Solving Real World Problems With Embedded Machine Learning (en Inglés)"

Edge AI is transforming the way computers interact with the real world, allowing IoT 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 AI. 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 AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started. Develop your expertise in AI and ML for edge devices Understand which projects are best solved with edge AI Explore key design patterns for edge AI apps Learn an iterative workflow for developing AI systems Build a team with the skills to solve real-world problems Follow a responsible AI process to create effective products