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Set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. Learn MoreĀ»

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TensorFlow is an open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.

TensorFlow.org

Apache Mahout is a project of the Apache Software Foundation to produce implementations of distributed or otherwise scalable machine learning algorithms focused primarily on linear algebra.

mahout.apache.org

KNIME, the Konstanz Information Miner, is an open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining Building Blocks of Analytics concept.

Knime.com

Keras is an open-source library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. Keras follows best practices for reducing cognitive load.

Keras

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices.

NumPy

Scikit-learn is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support-vector machines.

Scikit-Learn

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