Naive Bayesian Classifer in APL

Naive Bayesian Classifer in APL is a simple naive bayesian classifier to gain independent probabilistic assumptions on test input.

22 Alternatives To Naive Bayesian Classifer in APL

Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

DatumBox

DatumBox is a machine learning framework that can be applied to a wide variety of complex applications, though it’s primarily used for social media analytics.
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DimML

The DimML programming language enables users to run any data solution on any website with only a single line of code.
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Exploratory

Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
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Figure Eight

Figure Eight is the essential Human-in-the-Loop Machine Learning platform.

HLearn

HLearn is a high performance machine learning library written in Haskell.

Logical Glue

Logical Glue helps Lenders and Insurance organisations make better decisions with a highly intuitive and user-friendly Machine Learning Platform.
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NumPy

NumPy is the fundamental package for scientific computing with Python
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OpenAI Gym

OpenAI GYM is a toolkit developers use to both develop and compare reinforcement learning algorithms. Their GitHub repository includes dozens of contributors… read more.

OpenCV

OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer…

Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

SuperLearner

SuperLearner is a R package that implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.

Turi GraphLab Create

GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.

WEKA

WEKA is a set of powerful data mining tools that run on Java.