Relevant and authentic training data is crucial for the success of AI projects. High-quality, accurate, and representative data allows the AI model to learn effectively and make accurate predictions. The efficiency of an AI model is highly dependent on the data it is trained on. While other factors such as model complexity and preprocessing are important, the data quality and relevance are the most significant factors.
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