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Introduction to NumPy, TensorFlow, and scikit-learn

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23 Jun 2020CPOL5 min read 9.9K   120   15  
In this article we take a quick look at NumPy and TensorFlow also do a short overview of the scikit-learn library.
NumPy is a fundamental building block of all machine learning libraries, TensorFlow is a framework for several deep learning-related libraries. scikit-learn is a full-featured library of traditional machine learning methods. This module gives quick overview of these three libraries.

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This article is part of the series '8 Steps to Python for AI-Engaged Enterprise Developers View All

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


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