Sentence examples for actionable machine learning from inspiring English sources
By opening up their own virtual network systems and having anyone (not just researchers with PhDs) share their work, AT&T is helping bridge the gap between machine learning-based ideas and experimentation to actionable machine learning production that can be used by businesses across industries.
The project offers opportunities to develop advanced machine learning methods to derive actionable insights from heterogeneous observational data from electronic health records (including clinical time series, medication/procedures, physician notes and reports, and physiological signals) for informed treatment decision making.
Empirical results demonstrate that using MTL to account for individual differences provides large performance improvements over traditional machine learning methods and provides personalized, actionable insights.
A variety of signal processing mechanisms can be utilized to extract a multitude of target features which are then consumed by a pretrained machine learning model to produce an actionable insight.
He also works with industries in advanced data analytics for transforming data into actionable operations, particularly by incorporating human user aspects into machine learning to translate machine learning into impacts in real world applications.
The necessity is to not only understand and deploy statistical methods that underpin the concept of continuous machine learning algorithms, but also to create simple, actionable, and scalable insights for single and multi-unit operators to execute.
This trio of IIT-Delhi engineers has built machine learning algorithms that get smarter over time and deliver actionable insights on how to modify content to increase engagement.
Then, Tapdog would use machine learning technology to classify predictors, cluster the more important business developments, and finally derive actionable insights into those findings.
Machine learning systems combined with automated key-word identification procedures can turn that unused but potentially useful information into actionable data.
Machine Learning (JMLR, 2002).
