Which machine learning technique is particularly effective at processing large amounts of unstructured data such as images and text?
K-means Clustering
Decision Trees
Deep Learning
Logistic Regression
Deep Learning techniques excel at processing large amounts of unstructured data like images and text because they can automatically learn hierarchical representations and features directly from the data without manual feature engineering. Other techniques like logistic regression, k-means clustering, and decision trees are generally more effective on structured data and may require significant feature engineering.
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