Research on Machine Learning in the Age of Large Data
Publication Date : 01/12/2018
Large data has the characteristics of sparse attributes, ultra-high dimension, high noise, data drift and complex relationships, which makes it difficult for traditional machine learning algorithms to process and analyze effectively. The arrival of the new era of big data means that there will be a new way to deal with big data, that is, the close relationship between machine learning and big data analysis. Machine learning, which is emerging in the field of artificial intelligence, will combine big data to achieve more powerful functions in more fields, and artificial intelligence technology will also have new breakthroughs. The theory and method of machine learning are studied to realize knowledge discovery in super-high dimensional and sparse large data.
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