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Infer.NET

Index Infer.NET

Infer.NET is a free and open source.NET software library for machine learning. [1]

Table of Contents

  1. 6 relations: Latent Dirichlet allocation, Machine learning, Mlpy, Patents for Humanity, Probabilistic programming, Scikit-learn.

Latent Dirichlet allocation

In natural language processing, latent Dirichlet allocation (LDA) is a Bayesian network (and, therefore, a generative statistical model) for modeling automatically extracted topics in textual corpora.

See Infer.NET and Latent Dirichlet allocation

Machine learning

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 generalize to unseen data and thus perform tasks without explicit instructions.

See Infer.NET and Machine learning

Mlpy

mlpy is a Python, open-source, machine learning library built on top of NumPy/SciPy, the GNU Scientific Library and it makes an extensive use of the Cython language.

See Infer.NET and Mlpy

Patents for Humanity

Patents for Humanity is an awards program run by the United States Patent and Trademark Office.

See Infer.NET and Patents for Humanity

Probabilistic programming

Probabilistic programming (PP) is a programming paradigm in which probabilistic models are specified and inference for these models is performed automatically.

See Infer.NET and Probabilistic programming

Scikit-learn

scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language.

See Infer.NET and Scikit-learn

References

[1] https://en.wikipedia.org/wiki/Infer.NET