+- HHW.hu (https://hhwforum.hu)
+-- Fórum: Letöltések (https://hhwforum.hu/forumdisplay.php?fid=9)
+--- Fórum: E-könyvek (https://hhwforum.hu/forumdisplay.php?fid=57)
+---- Fórum: Külföldi könyvek (https://hhwforum.hu/forumdisplay.php?fid=64)
+---- Téma: Sustainable AI Tools for Greener Machine Learning(Early Release) (/showthread.php?tid=326581)
RE: Sustainable AI Tools for Greener Machine Learning(Early Release) - book24h - 2025-07-03
![[Kép: c2d6f689068ce369ea5bd3daf1071636.webp]](https://i125.fastpic.org/big/2025/0703/36/c2d6f689068ce369ea5bd3daf1071636.webp)
Free Download Sustainable AI: Tools for Greener Machine Learning(Early Release)
English | 2024 | ISBN: 9781098155506 | 250 pages | EPUB | 6.27 Mb
In the era of big data and even bigger machine learning models, the environmental footprint of these technologies can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs-both environmental and economic-of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI.
This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. In this book, you will
Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL models
Examine ways to break down barriers and foster a more inclusive future in AI development
Explore strategies for cutting costs and minimizing ecological impact
Learn how to balance performance with efficiency in model development
Gain proficiency in cutting-edge tools that enhance the sustainability of your AI projects
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.Links are Interchangeable - Single Extraction