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H2O.ai

Machine Learning
active

Mountain View, California, USA

Community Ratings

Active Users
Former Users
Overall Rating
4.5
(2 ratings)
Active: 2Former: 0
Features
4.5
(2 ratings)
Active: 2Former: 0
Reliability
4.2
(2 ratings)
Active: 2Former: 0
Performance
4.5
(2 ratings)
Active: 2Former: 0
Security
4.3
(2 ratings)
Active: 2Former: 0
Value for Money
4.5
(2 ratings)
Active: 2Former: 0
Customer Service
4.0
(2 ratings)
Active: 2Former: 0
Ease of Use
4.0
(2 ratings)
Active: 2Former: 0
Integrations
4.4
(2 ratings)
Active: 2Former: 0
Total Active Reviews: 2Total Former Reviews: 0

About H2O.ai

H2O.ai is a leading open-source platform for artificial intelligence and machine learning, designed to democratize AI for everyone. Its primary tool, H2O, is an open-source, in-memory, distributed, fast, and scalable machine learning and predictive analytics platform. It is primarily targeted at data scientists, analysts, and developers who need to build and deploy machine learning models efficiently. H2O supports a wide range of algorithms, including generalized linear models, gradient boosting machines, deep learning, and more, making it versatile for various predictive analytics tasks. The platform is designed to handle large datasets and can be integrated with popular data science tools like R and Python, making it accessible to a broad audience. H2O.ai differentiates itself with its focus on ease of use, scalability, and speed. One of its unique selling points is the AutoML functionality, which automates the process of training and tuning a large selection of models, allowing users to achieve high-quality models with minimal effort. Additionally, H2O.ai offers Driverless AI, an enterprise-grade automated machine learning platform that accelerates the process of building and deploying AI models. The overall value proposition of H2O.ai lies in its ability to provide powerful machine learning capabilities while being open-source, which reduces costs and increases accessibility for organizations of all sizes.

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Categories

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Industry Focus

Technology

Key Features

- Open-source machine learning platform
- AutoML for automated model training and tuning
- Support for a wide range of algorithms
- Integration with R and Python
- Scalable and fast in-memory processing
- Driverless AI for enterprise-grade automated machine learning
- Support for large datasets

Pros

- Open-source and free to use
- Comprehensive support for various machine learning algorithms
- High scalability and speed
- Strong community support and documentation
- Automated machine learning capabilities

Cons

- May require technical expertise to fully utilize
- Enterprise features may come at a cost
- Initial setup and configuration can be complex

Integrations

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Key Competitors