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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Leverage machine learning on distributed datasets to achieve quicker insights and improved outcomes, all while avoiding the expenses, concentration risks, lengthy timelines, and privacy issues associated with centralizing data. The potential of machine learning algorithms is often hindered by the availability of a wide range of high-quality data sources. By unlocking access to a broader dataset and ensuring transparency regarding the impacts of various models, you can derive more meaningful insights. The process of securing approvals, consolidating data, and developing infrastructure can be time-consuming. However, by utilizing data in its original location and employing a federated and parallelized training approach, you can obtain trained models and useful insights at an accelerated pace. Furthermore, Devron's capability to access data in its original context eliminates the necessity for data masking and anonymization, significantly minimizing the burdens associated with data extraction, transformation, and loading. As a result, organizations can focus their resources on analysis and decision-making rather than infrastructure challenges.

Description

Revolutionary machine teaching is here with an exceptionally efficient annotation tool driven by active learning. Prodigy serves as a customizable annotation platform so effective that data scientists can handle the annotation process themselves, paving the way for rapid iteration. The advancements in today's transfer learning technologies allow for the training of high-quality models using minimal examples. By utilizing Prodigy, you can fully leverage contemporary machine learning techniques, embracing a more flexible method for data gathering. This will enable you to accelerate your workflow, gain greater autonomy, and deliver significantly more successful projects. Prodigy merges cutting-edge insights from the realms of machine learning and user experience design. Its ongoing active learning framework ensures that you only need to annotate those examples the model is uncertain about. The web application is not only powerful and extensible but also adheres to the latest user experience standards. The brilliance lies in its straightforward design: it encourages you to concentrate on one decision at a time, keeping you actively engaged – akin to a swipe-right approach for data. Additionally, this streamlined process fosters a more enjoyable and effective annotation experience overall.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ZenML

Integrations

ZenML

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$490 one-time fee
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Devron

Website

www.devron.ai/

Vendor Details

Company Name

Explosion

Founded

2016

Country

Germany

Website

prodi.gy/

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Machine Learning

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

Product Features

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

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

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Alternatives

Alternatives

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Gretel

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