Embedded Machine Learning

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

Posted by First1 at Sept. 9, 2023
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning by Daniel Situnayake, Jenny Plunkett
English | February 14th, 2023 | ISBN: 1098120205 | 512 pages | True EPUB (Retail Copy) | 20.46 MB

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.

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

Posted by IrGens at Sept. 28, 2023
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning by Daniel Situnayake, Jenny Plunkett
English | February 14, 2023 | ISBN: 1098120205 | True PDF | 512 pages | 165 MB

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

Posted by Free butterfly at Aug. 4, 2025
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning by Daniel Situnayake, Jenny Plunkett, Suzie Althens
English | November 28, 2023 | ISBN: B0CP2S2C3K | 17 hours and 17 minutes | MP3 | 1.39 Gb

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing  eBooks & eLearning

Posted by hill0 at Oct. 1, 2023
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures
English | 2023 | ISBN: 3031195671 | 725 Pages | PDF EPUB (True) | 86 MB

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing  eBooks & eLearning

Posted by hill0 at Oct. 7, 2023
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases and Emerging Challenges
English | 2023 | ISBN: 3031406761 | 972 Pages | PDF EPUB (True) | 114 MB

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing  eBooks & eLearning

Posted by hill0 at Oct. 10, 2023
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing:
Software Optimizations and Hardware/Software Codesign

English | 2023 | ISBN: 3031399315 | 812 Pages | PDF EPUB (True) | 67 MB

Mastering TinyML: Unlocking the Power of Embedded Machine Learning to Improve Performance  eBooks & eLearning

Posted by Free butterfly at June 23, 2024
Mastering TinyML: Unlocking the Power of Embedded Machine Learning to Improve Performance

Mastering TinyML: Unlocking the Power of Embedded Machine Learning to Improve Performance, Reduce Costs, and Enhance User Experience in the Era of Intelligent Devices by Leon Chapman
English | April 21, 2024 | ISBN: N/A | ASIN: B0D2DMDHLR | 150 pages | EPUB | 0.28 Mb

Machine Learning For Embedded Systems With Arm Ethos-U Npu  eBooks & eLearning

Posted by ELK1nG at Sept. 7, 2025
Machine Learning For Embedded Systems With Arm Ethos-U Npu

Machine Learning For Embedded Systems With Arm Ethos-U Npu
Published 9/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.70 GB | Duration: 4h 43m

Deploy CNNs and AI models on ARM-based embedded devices with Ethos-U NPU, TensorFlow Lite Micro, and Alif E7 ML kit
Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD, part 1

Michael Kamp, "Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, part 1"
English | ISBN: 3030937356 | 2022 | 907 pages | EPUB | 108 MB

Machine Learning and Principles and Practice of Knowledge Discovery in Databases  eBooks & eLearning

Posted by AvaxGenius at Feb. 2, 2023
Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I by Irena Koprinska,
Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana, Konstantinos Sechidis, Arif Canakoglu, Sara Pido, Pietro Pinoli, Albert Bifet, Sepideh Pashami

English | PDF | 2023 | 646 Pages | ISBN : 3031236173 | 61.3 MB

This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022.