Knowledge Graph and Semantic Web Technology XAI by T. Poongodi(.ePUB)+
File Size: 31.3 MB
Knowledge Graph and Semantic Web Technology based XAI by T. Poongodi, Runumi Devi, S. Prakash, T. Ganesh Kumar
Requirements: .ePUB, .PDF reader, 31.3 MB | True PDF, True EPUB
Overview: The transformative impact of emerging technologies such as AI, blockchain, and Machine Learning on industries and societies, can drive sustainable development, improve governance, and address global challenges like climate change, economic inequality, and data privacy. Knowledge Graph and Semantic Web Technology based XAI offers readers a comprehensive study of these developments. Through real-world examples and practical insights, it demonstrates how AI and blockchain can solve pressing issues in such sectors as education, agriculture, and finance. Deep Learning (DL) has brought tremendous benchmarks within the confines of Artificial Intelligence (AI) in the past couple of decades. Recursively, DL is a subfield of AI that is a subvariant of Machine Learning (ML). DL mostly deals with image classification, speech recognition, object detection, pattern recognition, etc., and it is more complex than ML. DL requires more computational power and a huge amount of labeled data to work accurately. It can be used to automate tasks that require human assistance. Although the success of DL models relies on effective DL algorithms that have hundreds of layers, these models are considered to be black-box models as they are non-transparent. Applications that use AI demand transparency. Explainable AI (XAI) comes into the picture where it aims to produce explainable models that enable humans to understand and interpret the results produced by DL models.
Genre: Non-Fiction > Tech & Devices
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