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H2O Driverless AI

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About H2O Driverless AI

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H2O Driverless AI Details

Vendor
H2O.ai
Year Launched
2012
Location
2307 Leghorn St, Mountain View, CA 94043, United States
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Chinese, Japanese, Korean, German, French, Spanish, Portuguese, Russian, Italian, Dutch, Turkish, Hebrew, Arabic, Greek, Swedish
Users
Data Scientists, Machine Learning Engineers, Data Analysts
Industries Served
Healthcare, Finance, Retail, Manufacturing, Marketing
Tags
Artificial Intelligence, Statistical Analysis, Machine Learning, Data Science, Automation, Predictive Modeling

H2O Driverless AI's In-App Market Place

Does H2O Driverless AI have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

12

Mini Apps

1. Model Interpretability: This add-on provides detailed explanations for model predictions

allowing users to understand the factors influencing predictions made by the AI model.

2. Automatic Feature Engineering: This add-on automates the process of feature engineering

helping users generate new features from existing data to improve model performance.

3. Time Series Forecasting: This add-on specializes in forecasting future values based on historical time series data

making it easier for users to build accurate predictive models.

4. Natural Language Processing (NLP): This add-on enables users to analyze and process human language data

allowing for text classification

sentiment analysis

and other NLP tasks.

5. Automated Machine Learning (AutoML): This add-on streamlines the machine learning workflow by automatically selecting the best algorithms and hyperparameters for a given dataset

saving users time and effort.

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$)

Pros & Cons

  • Offers automated machine learning capabilities, making it easier for users to build and deploy models without extensive knowledge of data science
  • Utilizes advanced algorithms and techniques to streamline the model building process and improve accuracy
  • Provides real-time insights and recommendations for model optimization, allowing for quicker decision-making
  • Integrates with various data sources and formats, enhancing flexibility and compatibility
  • Enables users to easily interpret model results and make informed decisions based on the predictions generated.
  • Steep learning curve for beginners
  • Limited capability for customization and fine-tuning of algorithms
  • High cost for small businesses or individual users
  • Requires a powerful computer with high processing capabilities for optimal performance
  • Limited compatibility with certain operating systems or software platforms

H2O Driverless AI's Support Options

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