Top 3 machine learning libraries for Python

You don't have to be a data scientist to be fascinated by the world of machine learning, but a few travel guides might help you navigate the vast universe that also includes big data, artificial intelligence, and deep learning, along with a large dose of statistics and analytics. In this article, I'll look at three of the most popular machine learning libraries for Python. Released nearly a decade ago and primarily developed by a machine learning group at Université de Montréal, Theano is one of the most-used CPU and GPU mathematical compilers in the machine learning community. A 2016 paper, Theano: A Python framework for fast computation of mathematical expressions, provides a thorough overview of the library. "Several software packages have been developed to build on the strengths of Theano, with a higher-level user interface, more suitable for certain goals," the paper explains.