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Deep learning involves training neural networks with multiple hidden layers from "summary" of Data Science for Business by Foster Provost,Tom Fawcett
Deep learning is a subset of machine learning that involves training neural networks with multiple hidden layers. These hidden layers allow the network to learn increasingly abstract features from the input data. By passing the input data through a series of layers, each of which applies a transformation to the data, the network can learn complex patterns and relationships. The key to deep learning is the ability of neural networks to automatically discover the representations needed for feature detection as they are trained on data. In traditional machine learning approaches, feature engineering is typically done by humans, who must manually select and design the features that are fed into the model. This process can be time-consuming and may not always result in the most effective features for the task at hand. By using deep learning, we can bypass the need for manual feature engineer...
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