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Learning applications need data input and results.
Learning applications may have components running in the cloud, fog and swarm.
Learning applications like Microsoft Excel or Adobe Photoshop is useful but puts you in competition with tens of millions of other people who are merely users.
Many estimation, prediction, and learning applications have a dynamic nature.
They say they are drawn to the prospect of learning applications outside the classroom, though such lesson plans have yet to surface.
Coverage includes theoretical developments, biological models, new formal modes, learning, applications, software and hardware developments, and prospective researches.
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"Transfer learning application" section provides examples of transfer learning applications.
The limited processing power of early generation mobiles limits the scope for e-learning applications.
Svore of Microsoft thinks that machine-learning applications could come relatively quickly.
Advances in big data and machine-learning applications will further test traditional siloed data architectures.
Advanced-intelligence (AI), machine-learning applications constitute one area of technology that is obtaining widespread use throughout the industry.
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