The concepts of datasets, samples, labels in Machine Learning.

Sources:

  1. Mu Li et al. 1. Introduction. Dive into Deep Learning.

  2. Cross-validation: evaluating estimator performance

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Decorators are a significant part of Python. In simple words: they are functions which take other functions as inputs and output their modified versions.

Sources:

  1. Python Tips: Decorators
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Resources for essential topics of Machine Learning and Deep learning, including Natural language processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), Self-Supervised Learning (SSL), etc.

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