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speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for;
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for teaching in computer science, AI, and cognitive science courses; it does not assume extensive technical training in these areas. provides;
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for teaching in computer science, AI, and cognitive science courses; it does not assume extensive technical training in these areas. provides;
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Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data;
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Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short;
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Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short;
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Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short;
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Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short;
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, Australia, December 2006. Coverage includes foundations and knowledge based system, machine learning, connectionist AI, data mining, intelligent;
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proved to be a fascinating language for natural language and speech processing research and applications. After an overview of the aspects;
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for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language;
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natural language processing techniques. Identify machine learning and deep learning techniques for natural language processing and natural;
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daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this;
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daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this;
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easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters;
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includes all subareas of AI, with broad coverage of traditional topics like robotics, statistical learning and deep learning techniques. However;
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and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural;
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is text, NLP can be useful for extracting meaning and bridging the gap between humans and machines. about the book Real-world Natural Language;
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understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI;
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understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI;
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Learning and Deep Learning techniques for efficient natural language processing * Get started with NLTK and implement NLP in your applications;
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architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various;
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: data mining and machine learning; deep learning and applications for industry 4.0; recommender systems; computer vision techniques; decision;
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the basis of MRC; MRC models; and hands-on issues in application. This book offers a comprehensive solution for researchers in industry and;
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network Interactive AI for browser games using deep reinforcement learning Generative neural networks to generate music and pictures;
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. what's inside Deep learning from first principles Image-classification, imagine segmentation, and object detection Deep learning for natural;
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