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Naive Bayesian Classifer in APL VS Turi GraphLab Create

Compare Naive Bayesian Classifer in APL VS Turi GraphLab Create and see what are their differences

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Naive Bayesian Classifer in APL logo Naive Bayesian Classifer in APL

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

Turi GraphLab Create logo Turi GraphLab Create

GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.
  • Naive Bayesian Classifer in APL Landing page
    Landing page //
    2023-10-15
  • Turi GraphLab Create Landing page
    Landing page //
    2023-09-12

Category Popularity

0-100% (relative to Naive Bayesian Classifer in APL and Turi GraphLab Create)

Naive Bayesian Classifer in APL

Turi GraphLab Create

Python Tools
6 6%
Python Tools
94% 94
Data Science Tools
6 6%
Data Science Tools
94% 94
Data Science And Machine Learning
6 6%
Data Science And Machine Learning
94% 94
Software Libraries
50 50%
Software Libraries
50% 50

User comments

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What are some alternatives?

When comparing Naive Bayesian Classifer in APL and Turi GraphLab Create, you can also consider the following products

htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

NumPy - NumPy is the fundamental package for scientific computing with Python

OpenCV - OpenCV is the world's biggest computer vision library

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

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