AI at the Edge: Solving Real-World Problems with Embedded Machine Learning

Author:   Daniel Situnayake ,  Jenny Plunkett
Publisher:   O'Reilly Media
ISBN:  

9781098120207


Pages:   512
Publication Date:   24 January 2023
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $211.17 Quantity:  
Add to Cart

Share |

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning


Add your own review!

Overview

Full Product Details

Author:   Daniel Situnayake ,  Jenny Plunkett
Publisher:   O'Reilly Media
Imprint:   O'Reilly Media
Dimensions:   Width: 17.80cm , Height: 2.60cm , Length: 23.30cm
Weight:   0.812kg
ISBN:  

9781098120207


ISBN 10:   1098120205
Pages:   512
Publication Date:   24 January 2023
Audience:   General/trade ,  General ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Reviews

Author Information

Daniel Situnayake is Head of Machine Learning at Edge Impulse, where he leads embedded machine learning R&D. He's coauthor of the O'Reilly book TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers, the standard textbook on embedded machine learning, and has delivered guest lectures at Harvard, UC Berkeley, and UNIFEI. Dan previously worked on TensorFlow Lite at Google, and co-founded Tiny Farms, the first US company using automation to produce insect protein at industrial scale. He began his career lecturing in automatic identification and data capture at Birmingham City University. Jenny Plunkett is a Senior Developer Relations Engineer at Edge Impulse, where she is a technical speaker, developer evangelist, and technical content creator. In addition to maintaining the Edge Impulse documentation, she has also created developer-facing resources for Arm Mbed OS and Pelion IoT. She has presented workshops and tech talks for major tech conferences such as the Grace Hopper Celebration, Edge AI Summit, Embedded Vision Summit, and more. Jenny previously worked as a software engineer and IoT consultant for Arm Mbed and Pelion. She graduated with a B.S. in Electrical Engineering from The University of Texas at Austin.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List