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These include software libraries, frameworks, platforms, and tools used for machine learning, deep learning, natural language processing, computer vision, reinforcement learning, artificial general intelligence, and more. [1] the platform and materials have been jointly developed by indian. [1] it has a simple, flexible and easily readable syntax
[2] its popularity results in a vast ecosystem of libraries, including for deep learning, such as pytorch, tensorflow, keras, google jax [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 The library numpy can be used for manipulating arrays, scipy for scientific and mathematical.
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. 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
It was developed by the google. Python has gained widespread use in the machine learning community [37][38][39][40] it is widely taught as an introductory programming language
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