Embedded Machine Learning

Feature Selection For Machine Learning  eBooks & eLearning

Posted by ELK1nG at Nov. 7, 2022
Feature Selection For Machine Learning

Feature Selection For Machine Learning
Last updated 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.39 GB | Duration: 5h 48m

Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.
TensorFlow Lite for Mobile Development: Deploy Machine Learning Models on Embedded and Mobile Devices

TensorFlow Lite for Mobile Development: Deploy Machine Learning Models on Embedded and Mobile Devices
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 41M | 725 MB
Genre: eLearning | Language: English

The Intersection of 6G, AI/Machine Learning, and Embedded Systems  eBooks & eLearning

Posted by Free butterfly at July 25, 2025
The Intersection of 6G, AI/Machine Learning, and Embedded Systems

The Intersection of 6G, AI/Machine Learning, and Embedded Systems by Shruti Sharma, Ashutosh Sharma, Trinh Van Chien
English | March 23, 2025 | ISBN: 1032851961 | 440 pages | MOBI | 13 Mb

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)  eBooks & eLearning

Posted by AvaxGenius at Nov. 8, 2020
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) by John Ball
English | PDF | 2019 | 344 Pages | ISBN : 303921375X | 61.7 MB

This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR and camera processing, ethics, and communications. Several new datasets are also provided for future research work. Researchers and others interested in these topics will find important advances contained in this book.

Machine Learning & Python Data Science For Business And Ai  eBooks & eLearning

Posted by ELK1nG at Sept. 21, 2025
Machine Learning & Python Data Science For Business And Ai

Machine Learning & Python Data Science For Business And Ai
Published 9/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.32 GB | Duration: 5h 16m

Learn Python Programming, Data Analysis, and Machine Learning Techniques to Solve Real World Business Challenges with AI

Machine Learning - A-Z™ Full Course  eBooks & eLearning

Posted by Sigha at July 31, 2019
Machine Learning - A-Z™ Full Course

Machine Learning - A-Z™ Full Course
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 6.11 GB
Duration: 14.5 hours | Genre: eLearning | Language: English

Learn Machine Learning Algorithms in Python and R, Build Real Life Projects Like Speech and Face Recognition.
Practical Rust Projects: Build Serverless, AI, Machine Learning, Embedded, Game, and Web Applications

Practical Rust Projects: Build Serverless, AI, Machine Learning, Embedded, Game, and Web Applications by Shing Lyu, Andrew Rzeznik
English | July 26, 2023 | ISBN: 1484293304 | 412 pages | MOBI | 6.89 Mb

The Intersection of 6G, AI/Machine Learning, and Embedded Systems  eBooks & eLearning

Posted by hill0 at Feb. 24, 2025
The Intersection of 6G, AI/Machine Learning, and Embedded Systems

The Intersection of 6G, AI/Machine Learning, and Embedded Systems:
Pioneering Intelligent Wireless Technologies

English | 2025 | ISBN: 1032851961 | 426 Pages | PDF EPUB (True) | 32 MB

Machine Learning for Embedded System Security  eBooks & eLearning

Posted by yoyoloit at April 24, 2022
Machine Learning for Embedded System Security

Machine Learning for Embedded System Security
by Basel Halak

English | 2022 | ISBN: ‎ 3030941779 | 166 pages | True PDF EPUB | 19.28 MB

Feature Selection For Machine Learning  eBooks & eLearning

Posted by Sigha at Aug. 30, 2024
Feature Selection For Machine Learning

Feature Selection For Machine Learning
Last updated 4/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 1.75 GB | Duration: 5h 49m

Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.