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bayesian-bandit.js VS WEKA

Compare bayesian-bandit.js VS WEKA and see what are their differences

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bayesian-bandit.js logo bayesian-bandit.js

bayesian-bandit.js is an adaptation of the Bayesian Bandit code, the code has been rewritten to be more idiomatic and also usable as a browser script or npm package and includes unit test.

WEKA logo WEKA

WEKA is a set of powerful data mining tools that run on Java.
  • bayesian-bandit.js Landing page
    Landing page //
    2023-10-15
  • WEKA Landing page
    Landing page //
    2018-09-29

bayesian-bandit.js videos

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WEKA videos

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Review of Feature Selection in Weka

More videos:

  • Review - Getting Started with Weka - Machine Learning Recipes #10
  • Tutorial - Data mining with Weka | Data mining Tutorial for Beginners

Category Popularity

0-100% (relative to bayesian-bandit.js and WEKA)

bayesian-bandit.js

WEKA

Python Tools
5 5%
Python Tools
95% 95
Data Science And Machine Learning
4 4%
Data Science And Machine Learning
96% 96
Data Science Tools
5 5%
Data Science Tools
95% 95
Software Libraries
100 100%
Software Libraries
0% 0

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Reviews

These are some of the external sources and on-site user reviews we've used to compare bayesian-bandit.js and WEKA

bayesian-bandit.js Reviews

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WEKA Reviews

15 data science tools to consider using in 2021
Weka is free software licensed under the GNU General Public License. It was developed at the University of Waikato in New Zealand starting in 1992; an initial version was rewritten in Java to create the current workbench, which was first released in 1999. Weka stands for the Waikato Environment for Knowledge Analysis and is also the name of a flightless bird native to New...
Source: searchbusinessanalytics.techtarget.com

What are some alternatives?

When comparing bayesian-bandit.js and WEKA, you can also consider the following products

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

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

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.

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

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