The concepts of linear regression, classification, clustering, and Hidden Markov Model (HMM) represent different types of machine learning algorithms or models.
In machine learning, tensors are crucial multi-dimensional arrays for data representation and manipulation in diverse algorithms.
Machine learning encompasses supervised, unsupervised, reinforcement, semi-supervised, and self-supervised learning paradigms, each tailored for specific tasks and objectives.
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DRY stand for Don't Reat Yourself, it is one of fundamental programming principles.