Categoria: AI in Cybersecurity

9 Natural Language Processing Trends in 2023

Latent Semantic Analysis & Sentiment Classification with Python by Susan Li Furthermore, stemming and lemmatization are the last NLP techniques used on the dataset. The two approaches are used to reduce a derived or inflected word to its root, base, or stem form. The distinction between stemming and lemmatization is that lemmatization assures that the …

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Explore the evolving role of AI in the insurance industry

Five Sigma unveils insurance industry’s first AI-powered Insurance Adjustment Agent Hackers are now specifically targeting insurance agencies with the first, coordinated national cyberattacks this past March. At Netguru we specialize in designing, building, shipping and scaling beautiful, usable products with blazing-fast efficiency. According to McKinsey, by 2030, the number of employees needed to conduct underwriting …

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Create a Stock Chatbot with your own CSV Data by Nikhil Adithyan DataDrivenInvestor

A fully functional ChatBot in 10 mins by Rajdeep Biswas So if you want to sell the idea of a custom-trained AI chatbot for customer service, technical assistance, database management, etc., you can start by creating an AI chatbot. For those interested in web development, this bundle includes a comprehensive course on creating AI bots …

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