AI at the Edge: Solving Real-World Problems with Embedded Machine Learning (True PDF)

Posted on 29 Sep 02:03 | by BaDshaH | 0 views
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning (True PDF)
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning (True PDF)

English | February 14, 2023 | ISBN: 1098120205 | True PDF | 512 pages | 165 MB
Authors: Daniel Situnayake, Jenny Plunkett


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



Download From Rapidgator


https://rapidgator.net/file/bc21a3f92fb656287731ded8b48606da


Download From banned-scamhost


https://nitroflare.com/view/1B238E18AE6504B


Download From DDownload


https://ddownload.com/7311y5tup0fd



Related News

Hands–on TinyML Harness the power of Machine Learning on the edge devices Hands–on TinyML Harness the power of Machine Learning on the edge devices
Free Download Hands-On TinyML by Banerjee, Rohan; English | 2023 | ISBN: 9355518447 | 308 pages |...
Nature–inspired Optimization Algorithms and Soft Computing Methods, technology and applications for IoTs, smart cities Nature–inspired Optimization Algorithms and Soft Computing Methods, technology and applications for IoTs, smart cities
Free Download Nature-Inspired Optimization Algorithms and Soft Computing: Methods, technology and...
Machine Learning with Python - Practical Application Machine Learning with Python - Practical Application
Machine Learning with Python - Practical Application...
Hands–on ML Projects with OpenCV Master computer vision and Machine Learning using OpenCV and Python Hands–on ML Projects with OpenCV Master computer vision and Machine Learning using OpenCV and Python
Free Download Hands-On ML Projects with OpenCV: Master Computer Vision and Machine Learning Using...

System Comment

Information

Error Users of Visitor are not allowed to comment this publication.

Facebook Comment

Member Area
Top News