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[1] it has a simple, flexible and easily readable syntax Unlike nltk, which is widely used for teaching and research. [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. [3][4] the library is published under the mit license and its main developers are matthew honnibal and ines montani, the founders of the software company explosion 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 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. It is developed by google with contributions from nvidia and other community contributors
[1][2][3] it is described as bringing together a modified version of autograd (automatic obtaining of the gradient function. Outline of the python programming language the following outline is provided as an overview of and topical guide to python David cournapeau is a data scientist Orange components are called widgets
They range from simple data visualization, subset selection, and preprocessing to empirical evaluation of learning algorithms and predictive modeling
Visual programming is implemented through an interface in which. 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.
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