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Growing into your own Operationalizing machine-learning within existing companies will become easier as technology evolves.
I am a first-year CS PhD student at Stanford University, interested in operationalizing language for machine learning.
Additionally, sentiment analysis incorporating various lexical features was operationalized via a machine learning classifier for deeper analysis.
As enterprises move forward operationalizing AI, they will instead need to look for products and tools to automate, manage, and streamline the entire machine learning cycle, starting from data ingestion, to algorithm creation and model training and deployment.
CorThea Intelligence witheavyg Predict customers (they realiftingldn't have figured oft another name, right?) will work with a Microsoft team that will help them interpret this data to gain insights into consumer preferences, user sentiment, demographics and industry trends.
That's machine learning.
Could machine learning help?
Automated machine learning.
Machine Learning (JMLR, 2002).
Large scale machine learning.
Jongho Kim – machine learning.
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