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Use language embeddings for zero-shot classification and semantic search with Amazon Bedrock

AWS Machine Learning Blog

The following image uses these embeddings to visualize how topics are clustered based on similarity and meaning. You can then say that if an article is clustered closely to one of these embeddings, it can be classified with the associated topic. This is the k-nearest neighbor (k-NN) algorithm.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities. D Data Mining : The process of discovering patterns, insights, and knowledge from large datasets using various techniques such as classification, clustering, and association rule learning.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

There are majorly two categories of sampling techniques based on the usage of statistics, they are: Probability Sampling techniques: Clustered sampling, Simple random sampling, and Stratified sampling. The K-Nearest Neighbor Algorithm is a good example of an algorithm with low bias and high variance.