Machine Learning (ML) comprises algorithms that extract patterns from data to generate predictions. It can function with limited data and conventional computing approaches. Deep Learning (DL), a specialization within ML, employs multi-layered neural networks to learn from extensive unstructured datasets. DL excels in areas such as image and speech recognition but demands greater data volumes and processing capabilities.
Consider the following two documents:
Document 1: ML and DL are part of AI.
Document 2: DL is a subset of ML.
Implement all four steps of the Bag of Words (Bow) model to create a document vector table .Depict the outcome of each step