OverviewThe global NLP in healthcare & life sciences market is anticipated to expand at a CAGR of nearly 25% during the forecast period, fueled by widespread EHR adoption, rising interest in ...

Deep learning has yielded some fantastic results for basic natural language processing (NLP) functions such as named entity recognition (NER), document classification and sentiment analysis — not to ...

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Our faculty are engaged in research projects ranging from language documentation and morphological analysis to semantic analysis to Biomedical Informatics. We are also currently working on an ...

UBS is banking on machine learning to solve its know-your-customer (KYC) problem and is undertaking a project to use the technology to match information and find anomalies in customer information. “We ...

With machine learning (ML) at the heart of much of modern computing, the interesting question is: How do machines learn? There’s a lot of deep computer science in machine learning, producing models ...

It is a natural goal of any organization to maximize the return on investment of their machine learning (ML) projects. To do this, an organization must be aware of a number of pitfalls that can ...