Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications

• URL: http://arxiv.org/abs/2410.01268v1
• Date: Wed, 2 Oct 2024 06:24:51 GMT
• Title: Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications
• Authors: Pohsun Feng, Ziqian Bi, Yizhu Wen, Xuanhe Pan, Benji Peng, Ming Liu, Jiawei Xu, Keyu Chen, Junyu Liu, Caitlyn Heqi Yin, Sen Zhang, Jinlang Wang, Qian Niu, Ming Li, Tianyang Wang,
• Abstract summary: This book serves as an introduction to deep learning and machine learning, focusing on their applications in big data analytics. It covers essential concepts, tools like ChatGPT and Claude, hardware recommendations, and practical guidance on setting up development environments. Designed for beginners and advanced users alike, it provides step-by-step instructions, hands-on projects, and insights into AI's future.
• Score: 17.624263707781655
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This book serves as an introduction to deep learning and machine learning, focusing on their applications in big data analytics. It covers essential concepts, tools like ChatGPT and Claude, hardware recommendations, and practical guidance on setting up development environments using libraries like PyTorch and TensorFlow. Designed for beginners and advanced users alike, it provides step-by-step instructions, hands-on projects, and insights into AI's future, including AutoML and edge computing.

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