Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • RunPod Reviews & Ratings
    205 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,105 Ratings
    Company Website
  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    355 Ratings
    Company Website
  • NeuBird Reviews & Ratings
    2 Ratings
    Company Website
  • CYPHER Learning Reviews & Ratings
    451 Ratings
    Company Website
  • Adzooma Reviews & Ratings
    254 Ratings
    Company Website
  • Google Compute Engine Reviews & Ratings
    1,170 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,008 Ratings
    Company Website

What is Weka?

Weka is a comprehensive suite of machine learning algorithms tailored for a variety of data mining tasks. The platform supports functions including data preparation, classification, regression, clustering, association rule mining, and data visualization. Interestingly, the name "Weka" also refers to a flightless bird indigenous to New Zealand, recognized for its inquisitive nature. Information about the bird's pronunciation and its distinctive calls is readily available online. As an open-source tool, Weka is distributed under the GNU General Public License, promoting accessibility and collaboration. To aid learners, we have developed several free online courses that focus on machine learning and data mining using Weka, with corresponding video tutorials available on YouTube. The rise of machine learning methods signifies a revolutionary leap in computer science, allowing software to analyze large datasets methodically and extract relevant insights. This process enables automated predictions and enhances decision-making capabilities for both individuals and organizations. Ultimately, this convergence of natural inspiration and technological advancement illustrates the remarkable ways in which we innovate by looking to the environment around us for ideas. Additionally, the continuous evolution of machine learning tools like Weka will likely lead to even more sophisticated applications in the future.

What is MLlib?

MLlib, the machine learning component of Apache Spark, is crafted for exceptional scalability and seamlessly integrates with Spark's diverse APIs, supporting programming languages such as Java, Scala, Python, and R. It boasts a comprehensive array of algorithms and utilities that cover various tasks including classification, regression, clustering, collaborative filtering, and the construction of machine learning pipelines. By leveraging Spark's iterative computation capabilities, MLlib can deliver performance enhancements that surpass traditional MapReduce techniques by up to 100 times. Additionally, it is designed to operate across multiple environments, whether on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or within cloud settings, while also providing access to various data sources like HDFS, HBase, and local files. This adaptability not only boosts its practical application but also positions MLlib as a formidable tool for conducting scalable and efficient machine learning tasks within the Apache Spark ecosystem. The combination of its speed, versatility, and extensive feature set makes MLlib an indispensable asset for data scientists and engineers striving for excellence in their projects. With its robust capabilities, MLlib continues to evolve, reinforcing its significance in the rapidly advancing field of machine learning.

Media

Media

Integrations Supported

AWS Marketplace
Amazon EC2
Apache Cassandra
Apache HBase
Apache Hive
Apache Mesos
Apache Spark
Hadoop
Java
Kubernetes
MapReduce
Python
R
Scala

Integrations Supported

AWS Marketplace
Amazon EC2
Apache Cassandra
Apache HBase
Apache Hive
Apache Mesos
Apache Spark
Hadoop
Java
Kubernetes
MapReduce
Python
R
Scala

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

University of Waikato

Company Location

New Zealand

Company Website

www.cs.waikato.ac.nz/ml/weka/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1995

Company Location

United States

Company Website

spark.apache.org/mllib/

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Popular Alternatives

Neural Designer Reviews & Ratings

Neural Designer

Artelnics

Popular Alternatives

Apache Spark Reviews & Ratings

Apache Spark

Apache Software Foundation
RapidMiner Reviews & Ratings

RapidMiner

Altair
Apache Mahout Reviews & Ratings

Apache Mahout

Apache Software Foundation
Apache Mahout Reviews & Ratings

Apache Mahout

Apache Software Foundation
Amazon EMR Reviews & Ratings

Amazon EMR

Amazon