The service draws on machine learning, data mining and predictive modeling to make its suggestions.
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Applications that use big data require machine learning to work to their highest potential.
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BillGuard had developed a pitch emphasizing its very sophisticated machine learning algorithm- based analytics.
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It will use machine learning methods and big data analytics and data mining tools.
But Nina may represent a true leap forward in man-machine learning and artificial intelligence.
Meanwhile, Chris Raimondi is search engine optimization specialist who taught himself machine learning by watching YouTube lectures.
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The sharing of machine learning enables the protection of the rest of the system before they get hit.
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Machine learning methods effectively combine many sources of information to derive predictions of future outcomes from past performance.
The service uses machine learning to make specialized recommendations to people based on what people with similar tastes like.
Two nearly universal business problems are prime candidates for machine learning, Tennant says.
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Implement a simple Machine learning algorithm on your own, with a whole pipeline.
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Ford is looking at sensors, machine learning, and big data as the future.
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EBay labs employs economists, machine learning and machine vision experts, data miners, natural language processors and human computer interaction specialists.
The second case is machine learning where the software applications are taught to anticipate consumer needs and respond to them quickly.
It uses machine learning and social media and is very sensitive to privacy concerns often associated with mining data about individuals.
Watson is also based on machine learning and to master a subject, it takes a significant amount of time and data.
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Social media marketer Salorix has upgraded its analytics product, Amplify, which is a machine learning program that focuses on social networks.
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Microsoft suspects the tech could also pick up the pace of machine learning and churn through large data sets in a jiffy.
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Machine Learning is often employed to automate classification and correlation via software.
Despite its semantic engine and machine learning, Beepl was built to be social and conversational rather than simply a repository of answers.
The company combines algorithmic machine learning with user-curated content to connect affinity to anything on the Web, from fashion to food trucks.
You may need to use a machine learning model to help you understand how the churn rate relates to various other indicators.
But I agree with your reader, Dan Kimberg, in that the magic is in the machine learning software, not the hardware components.
At AgilOne, Artun has created a general purpose infrastructure that uses machine learning to achieve goals similar to the ones just described.
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Creating software that can write long-form narratives is very difficult, full of all sorts of interesting artificial intelligence, machine learning and natural language problems.
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The combination of advertising-supported content and machine learning creates the potential for the kind of highly targetable environment that marketers have been dreaming of.
Because of the volume, level of detail, and amount of noise in external big data, machine learning techniques will be required close to the data.
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In fact, machine learning will be an important part of further contextualizing curated content in order to fully understand the human nature behind it all.
The community is made up of three sub-sets, says Goldbloom: the Silicon Valley hacker community, the applied statistics community, and the applied machine learning community.
They are using what used to be called artificial intelligence and is now referred to as machine learning to explore the relationships between the two.
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