Social Media and Multimedia Data Analytics through Machine Learning (original) (raw)
Machine learning is a subfield of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data. Both systems search through data to look for patterns. Spam filtering, face recognition, recommendation engines, when you have a large data set on which you'd like to perform predictive analysis or pattern recognition, machine learning is the way to go. This science, in which computers are trained to learn from, analyze, and act on data without being explicitly programmed, has surged in interest of late outside of its original cloister of academic and high-end programming circles. This rise in popularity is due not only to hardware growing cheaper and more powerful, but also the proliferation of free software that makes machine learning easier to implement both on single machines and at scale. The diversity of machine learning libraries means there's likely to be an option available regardless of what language or environment you prefer. This paper presents Data Analytic techniques which provide functionality for individual apps or whole frameworks, such as Hadoop.
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