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TopicModels.jl VS WEKA

Compare TopicModels.jl VS WEKA and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

TopicModels.jl logo TopicModels.jl

Topic models are Bayesian, hierarchical mixture models of discrete data that implements utilities for reading and manipulating data commonly associated with topic models as well as inference and prediction procedures for such models.

WEKA logo WEKA

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

TopicModels.jl 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 TopicModels.jl and WEKA)

TopicModels.jl

WEKA

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

User comments

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Reviews

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

TopicModels.jl 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 TopicModels.jl and WEKA, you can also consider the following products

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.

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

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