Advanced Machine Learning
In advanced machine learning, deep neural nets (DNNs) move beyond classic computing and information management to create systems that can autonomously learn to perceive the world, on their own. The explosion of data sources and complexity of information makes manual classification and analysis infeasible and uneconomic. DNNs automate these tasks and make it possible to address key challenges related to the information of everything trend.
DNNs (an advanced form of machine learning particularly applicable to large, complex datasets) are what make smart machines appear "intelligent." DNNs enable hardware- or software-based machines to learn for themselves all the features in their environment, from the finest details to broad sweeping abstract classes of content. This area is evolving quickly, and organizations must assess how they can apply these technologies to gain competitive advantage.
Technology is constantly evolving and maturing. It moves from a nascent, undefined entity to one that is widely accepted and becomes so commonplace that we wonder how we ever functioned without it. Mobile and cloud are two prominent examples of such a journey. From businesses to individual consumers, everyone is connected to everyone, everywhere, all the time.
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