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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

WEKA is an advanced data platform that delivers exceptional performance, scalability, and efficiency for AI, machine learning, and high-performance computing applications. By breaking down data silos, WEKA enables seamless integration across cloud and on-premise environments, allowing businesses to manage and analyze vast data sets effortlessly. The platform supports a variety of use cases, including HPC, AI inferencing, and generative AI, with robust infrastructure that accelerates model training and optimizes performance at scale. Additionally, WEKA emphasizes sustainability by reducing energy usage, offering a future-ready solution for data-driven innovation.

Description

Weka comprises a suite of machine learning algorithms designed for various data mining activities. This platform offers functionalities for tasks such as data preparation, classification, regression, clustering, association rule mining, and data visualization. Interestingly, Weka is also the name of a flightless bird native to New Zealand, known for its curious disposition. The pronunciation of the name and the sounds made by the bird can be found online. As an open-source software, Weka is available under the GNU General Public License. We have created several complimentary online courses aimed at teaching machine learning and data mining through Weka, with video resources accessible on YouTube. The emergence and implementation of machine learning techniques represent a groundbreaking advancement in the realm of computer science. These techniques empower computer programs to systematically analyze extensive datasets and discern the most pertinent information. Consequently, this distilled knowledge can facilitate automated predictions and accelerate decision-making processes for individuals and organizations alike. This intersection of nature and technology showcases the fascinating ways in which we draw inspiration from the world around us.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AMI Data Center Manager Yes 
AWS Marketplace No 
Amazon Web Services (AWS) Yes 
Azure Marketplace Yes 
Cisco CX Cloud Yes 
HP-UX Yes 
Hitachi Content Platform Yes 
IBM Cloud Yes 
IREN Cloud Yes 
KX Insights Yes 
Lambda Suite Yes 
Lenovo ThinkAgile HX Series Yes 
Rancher Yes 
Scality Yes 
Seagate CORTX Yes 
Starfish Yes 
Valohai Yes 
Wasabi Yes 

Integrations

AMI Data Center Manager No 
AWS Marketplace Yes 
Amazon Web Services (AWS) No 
Azure Marketplace No 
Cisco CX Cloud No 
HP-UX No 
Hitachi Content Platform No 
IBM Cloud No 
IREN Cloud No 
KX Insights No 
Lambda Suite No 
Lenovo ThinkAgile HX Series No 
Rancher No 
Scality No 
Seagate CORTX No 
Starfish No 
Valohai No 
Wasabi No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

WEKA

Founded

2013

Country

United States

Website

www.weka.io

Vendor Details

Company Name

University of Waikato

Country

New Zealand

Website

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

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Workload Automation

Alerts / Notifications No 
Audit Trails No 
Business Process Management No 
Cross-Platform Scheduling No 
Dashboard No 
Data Analysis / Visualization No 
Event-Triggers No 
Load Balancing No 
Resource-Based Scheduling No 
Robotic Process Automation (RPA) No 
Workflow Foundation Support No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library Yes 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools No 
Templates No 
Visualization Yes 

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