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Machine learning - Wikipedia Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions [1] Within a subdiscipline in machine learning, advances in the field of deep learning have allowed neural networks, a class of statistical algorithms
Python (programming language) - Wikipedia Python has gained widespread use in the machine learning community [37][38][39][40] It is widely taught as an introductory programming language [41] Since 2003, Python has consistently ranked in the top ten of the most popular programming languages in the TIOBE Programming Community Index, which ranks based on searches in 24 platforms [42]
scikit-learn - Wikipedia Free and open-source software portal scikit-learn (formerly scikits learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k -means and DBSCAN, and is designed to interoperate with
Natural language processing - Wikipedia Statistical NLP (1990s–present) Up until the 1980s, most natural language processing systems were based on complex sets of hand-written rules Starting in the late 1980s, however, there was a revolution in natural language processing with the introduction of machine learning algorithms for language processing
TensorFlow - Wikipedia TensorFlow is a software library for machine learning and artificial intelligence It can be used across a range of tasks, but is used mainly for training and inference of neural networks [3][4] It is one of the most popular deep learning frameworks, alongside others such as PyTorch [5] It is free and open-source software released under the Apache License 2 0 It was developed by the Google
Reinforcement learning - Wikipedia In machine learning and optimal control, reinforcement learning (RL) is concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning
Outline of the Python programming language - Wikipedia The following outline is provided as an overview of and topical guide to Python: Python is a general-purpose, interpreted, object-oriented, multi-paradigm, and dynamically typed programming language known for its readable syntax and broad standard library
Artificial intelligence - Wikipedia Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to
Deep learning - Wikipedia In machine learning, deep learning focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning