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[1] it has a simple, flexible and easily readable syntax [4] it was developed by steven bird and edward. [2] its popularity results in a vast ecosystem of libraries, including for deep learning, such as pytorch, tensorflow, keras, google jax
The library numpy can be used for manipulating arrays, scipy for scientific and mathematical. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities [59] many other paradigms are supported via extensions, including design by contract [60][61] and logic programming
Elements of ai is a massive open online course (mooc) teaching the basics of artificial intelligence
[1] the course, originally launched in 2018, is designed and organized by the university of helsinki and learning technology company minnalearn [2] the course includes modules on machine learning, neural networks, the philosophy of artificial intelligence, and using artificial intelligence to. A guide for thinking humans is a 2019 nonfiction book by santa fe institute professor melanie mitchell [1] the book provides an overview of artificial intelligence (ai) technology, and argues that people tend to overestimate the abilities of artificial intelligence
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. Parse tree generated with nltk the natural language toolkit, or more commonly nltk, is a suite of libraries and programs for symbolic and statistical natural language processing (nlp) for english written in the python programming language
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