Exploring Named Entity Recognition use cases across industries Using named entity recognition applications, businesses can extract information from semi-structured and unstructured data to enhance the efficiency of their daily operations.

Information extraction is the process of extracting structured information from semi-structured or unstructured data automatically. In most cases, information extraction involves processing human language in unstructured data so that machines…

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5 deep learning challenges businesses should be aware of Deep learning is gaining prominence in the field of artificial intelligence, streamlining processes and bringing huge financial gains to businesses. However, businesses must be aware of deep learning challenges before they employ deep learning to solve their problems.

Deep learning is everywhere. From your Google voice assistant to your ‘Netflix and chill’ recommendations to the very humble Grammarly — they’re all powered by deep learning. Deep learning has…

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How product recommendation systems can benefit businesses Product recommendation systems are among the most widespread applications of machine learning that enable businesses to enrich customer engagement and shopping experience.

A product recommendation system is a subclass of information filtering that uses machine learning to provide personalized recommendations to consumers based on their data. For instance, they can provide appropriate…

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Sequence modeling for beginners Sequence modeling plays a critical role in applications that require the analysis of input data as a continuous correlated stream instead of as discrete, unrelated entities.

Among the different types of artificial neural networks used in present-day AI applications, feedforward neural networks are the most common. These neural networks are primarily used for applications requiring pattern…

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