Machine Learning (ML): ML involves algorithms that learn from data and make predictions based on patterns in the data. It does not require large amounts of data and can operate on traditional computational methods. Deep Learning (DL): DL is a subset of ML that uses neural networks with many layers (hence ”deep”) to learn from large amounts of unstructured data. It is particularly useful in tasks like image and speech recognition but requires more data and computational power.
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