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Machine Learning on Big Data (Lessons Learned from Google Projects)

Machine learning researchers and practitioners develop computer algorithms that "improve performance automatically through experience". At Google, machine learning is applied to solve many problems, such as prioritizing emails in Gmail, recommending tags for YouTube videos, and identifying different aspects from online user reviews. Machine learning on big data, however, is challenging. Some "simple" machine learning algorithms with quadratic time complexity, while running fine with hundreds of records, are almost impractical to use on billions of records

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