Artificial Intelligence and Machine Learning for EDGE Computing – Ebook PDF Instant Delivery – ISBN(s): 9780128240540,0128240547
Product details:
- ISBN-10 : 0128240547
- ISBN-13 : 978-0128240540
- Author: Rajiv Pandey, Sunil Kumar Khatri , Neeraj Kumar Singh , Parul Verma
Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms.
Table of contents:
Chapter 1: Supervised learning
Chapter 2: Supervised learning: From theory to applications
Chapter 3: Unsupervised learning
Chapter 4: Regression analysis
Chapter 5: The integrity of machine learning algorithms against software defect prediction
Chapter 6: Learning in sequential decision-making under uncertainty
Chapter 7: Geospatial crime analysis and forecasting with machine learning techniques
Chapter 8: Trust discovery and information retrieval using artificial intelligence tools from multiple conflicting sources of web cloud computing and e-commerce users
Chapter 9: Reliable diabetes mellitus forecasting using artificial neural network multilayer perceptron
Chapter 10: A study of deep learning approach for the classification of electroencephalogram (EEG) brain signals
Chapter 11: Integrating AI in e-procurement of hospitality industry in the UAE
Chapter 12: Application of artificial intelligence and machine learning in blockchain technology
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