These algorithms can ingest and process unstructured data, like text and images, and it automates feature extraction, removing some of the dependency on human experts. This doesn’t necessarily mean that it doesn’t use unstructured data it just means that if it does, it generally goes through some pre-processing to organize it into a structured format.ĭeep learning eliminates some of data pre-processing that is typically involved with machine learning. Machine learning algorithms leverage structured, labeled data to make predictions-meaning that specific features are defined from the input data for the model and organized into tables. If deep learning is a subset of machine learning, how do they differ? Deep learning distinguishes itself from classical machine learning by the type of data that it works with and the methods in which it learns.
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