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Data Science Association Rule Learning use case.

Python programming language and its libraries combined together and R language in addition form the powerful tools for solving Association Rule Learning tasks.

Association rule learning is a rule-based machine learning ML method for detecting possible relations between variables in large datasets. It's purpose is to identify powerful rules discovered in datasets using some measures of interestingness.

https://python-code.pro/association-rule-learning-python-r-cheatsheets/
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Data Science Reinforcement Learning use case.

Python programming language and its libraries combined together and R language in addition form the powerful tools for solving Reinforcement Learning tasks.

Reinforcement learning - RL - is an branch of machine learning ML which busy with how intelligent agents should take actions in an environment in order to maximize the notion of cumulative reward.

Reinforcement learning is one of three basic machine learning concepts next to supervised learning and unsupervised learning.

Reinforcement learning is distinguished from supervised learning in not needing labelled input/output pairs be presented, and in not needing sub-optimal actions to be explicitly corrected. Instead the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge).

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Python is sexy πŸ‘Œ Python programming, Statistics,
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Data Science NLP use case.

Python programming language and its libraries combined together and R language in addition form the powerful tools for solving Natural Language Processing tasks.

Natural language processing - NLP - is a branch of linguistics, computer science CS and artificial intelligence AI which study the interactions between computers and human language, in fact how to program computers to process and analyze natural language data in large amounts.

The main goal is a computer capable of "understanding" the contents of text data, especially the contextual nuances of the language used. The technology must also accurately extract information and basic ideas contained in the documents, categorize and organize the documents themselves.

https://python-code.pro/natural-language-processing-python-r-cheatsheets/
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