Using a form of artificial intelligence called natural language processing (NLP) to mine information in electronic health records (EHRs) can uncover early cases of childhood asthma more quickly, reducing the long-term morbidity of this chronic disease, improve current care, and streamline and advance new therapeutic discoveries.
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You may not realize it, but you’ve probably already used machine learning technology in your journalism. Perhaps you used a service like Trint to transcribe your interviews, punched in some text for Google to translate, or converted the Mueller Report into readable text. And if you haven’t used it yourself, machine learning is probably at […]
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A system that remembers customers’ preferences, can understand speech and text and that learns the more it’s used is the magic of machine learning. Machine learning helps understand customers, drive personalization, streamline processes and more. Here are 20 examples of machine learning in action.
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Microsoft is joining the Databricks-backed MLflow project for machine learning experiment management. Already present in Azure Databricks, a fully managed version of MLflow will be added to Azure Machine Learning and made available soon.
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From Facebook to your local bakery, enterprises that want to implement AI must collect massive amounts of data. Now, experts are learning that collecting the right types of data and having clean data for machine learning algorithms could be the biggest key to AI success.
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A thorough effort to understand your own unique ML and decision needs, combined with a review of current solutions, will get you on a path to successful ML adoption.
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