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Red Hat OpenShift Data Science
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Red Hat OpenShift Data Science Features

What are the features of Red Hat OpenShift Data Science?

Model Development

  • Language Support
  • Drag and Drop
  • Pre-Built Algorithms
  • Model Training
  • Pre-Built Algorithms
  • Model Training
  • Feature Engineering

Machine/Deep Learning Services

  • Computer Vision
  • Computer Vision

Deployment

  • Application
  • Managed Service
  • Application
  • Scalability

System

  • Language Support
  • Drag and Drop

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Filter for Features

Model Development

Language Support

As reported in 23 Red Hat OpenShift Data Science reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript
88%
(Based on 23 reviews)

Drag and Drop

As reported in 23 Red Hat OpenShift Data Science reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models
88%
(Based on 23 reviews)

Pre-Built Algorithms

As reported in 23 Red Hat OpenShift Data Science reviews. Provides users with pre-built algorithms for simpler model development
87%
(Based on 23 reviews)

Model Training

Supplies large data sets for training individual models 23 reviewers of Red Hat OpenShift Data Science have provided feedback on this feature.
86%
(Based on 23 reviews)

Pre-Built Algorithms

Based on 22 Red Hat OpenShift Data Science reviews. Provides users with pre-built algorithms for simpler model development
85%
(Based on 22 reviews)

Model Training

Supplies large data sets for training individual models This feature was mentioned in 22 Red Hat OpenShift Data Science reviews.
86%
(Based on 22 reviews)

Feature Engineering

Based on 23 Red Hat OpenShift Data Science reviews. Transforms raw data into features that better represent the underlying problem to the predictive models
88%
(Based on 23 reviews)

Machine/Deep Learning Services

Computer Vision

Based on 22 Red Hat OpenShift Data Science reviews. Offers image recognition services
85%
(Based on 22 reviews)

Natural Language Processing

Based on 20 Red Hat OpenShift Data Science reviews. Offers natural language processing services
83%
(Based on 20 reviews)

Natural Language Generation

Based on 20 Red Hat OpenShift Data Science reviews. Offers natural language generation services
86%
(Based on 20 reviews)

Artificial Neural Networks

Offers artificial neural networks for users 20 reviewers of Red Hat OpenShift Data Science have provided feedback on this feature.
83%
(Based on 20 reviews)

Computer Vision

As reported in 22 Red Hat OpenShift Data Science reviews. Offers image recognition services
88%
(Based on 22 reviews)

Natural Language Understanding

Offers natural language understanding services This feature was mentioned in 20 Red Hat OpenShift Data Science reviews.
86%
(Based on 20 reviews)

Natural Language Generation

Based on 20 Red Hat OpenShift Data Science reviews. Offers natural language generation services
86%
(Based on 20 reviews)

Deep Learning

Provides deep learning capabilities This feature was mentioned in 21 Red Hat OpenShift Data Science reviews.
87%
(Based on 21 reviews)

Deployment

Managed Service

Based on 22 Red Hat OpenShift Data Science reviews. Manages the intelligent application for the user, reducing the need of infrastructure
86%
(Based on 22 reviews)

Application

As reported in 22 Red Hat OpenShift Data Science reviews. Allows users to insert machine learning into operating applications
88%
(Based on 22 reviews)

Scalability

Provides easily scaled machine learning applications and infrastructure 22 reviewers of Red Hat OpenShift Data Science have provided feedback on this feature.
85%
(Based on 22 reviews)

Managed Service

Based on 23 Red Hat OpenShift Data Science reviews. Manages the intelligent application for the user, reducing the need of infrastructure
88%
(Based on 23 reviews)

Application

Allows users to insert machine learning into operating applications 23 reviewers of Red Hat OpenShift Data Science have provided feedback on this feature.
87%
(Based on 23 reviews)

Scalability

As reported in 23 Red Hat OpenShift Data Science reviews. Provides easily scaled machine learning applications and infrastructure
86%
(Based on 23 reviews)

System

Data Ingestion & Wrangling

Based on 22 Red Hat OpenShift Data Science reviews. Gives user ability to import a variety of data sources for immediate use
89%
(Based on 22 reviews)

Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript This feature was mentioned in 23 Red Hat OpenShift Data Science reviews.
91%
(Based on 23 reviews)

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 23 Red Hat OpenShift Data Science reviews.
87%
(Based on 23 reviews)

Generative AI

AI Text Generation

Allows users to generate text based on a text prompt.

Not enough data

AI Text Summarization

Condenses long documents or text into a brief summary.

Not enough data

AI Text-to-Image

Provides the ability to generate images from a text prompt.

Not enough data

Agentic AI - Data Science and Machine Learning Platforms

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Not enough data

Multi-step Planning

Ability to break down and plan multi-step processes

Not enough data

Cross-system Integration

Works across multiple software systems or databases

Not enough data

Adaptive Learning

Improves performance based on feedback and experience

Not enough data

Natural Language Interaction

Engages in human-like conversation for task delegation

Not enough data

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Not enough data

Decision Making

Makes informed choices based on available data and objectives

Not enough data

Red Hat OpenShift...