I came across some questions/Articles related to BERT-embeddings: Why do BERT embeddings work so well for machine learning? Do pre-trained embeddings as ELMo and BERT work well on noisy data like tweets? Demystifying BERT: The Groundbreaking NLP Framework Understanding BERT: Is it a Game Changer in NLP, and many more… …

Introduction Natural language understanding (NLU) is the ability of machines to understand human language. NLU refers to how unstructured data is rearranged so that machines may “understand” and analyze it. On the other hand, we have BERT — One of the most path-breaking developments in the field of NLU; a…

“RFM is a method used for analyzing customer value”. It groups customers based on their transaction history : Recency — How recently did the customer purchase? Frequency — How often do they purchase? Monetary Value — How much do they spend? Combine and groups them into different customer segments for…