H2O AutoML superb!!
We use H2O.ai for building End to End auto pipelines for machine learning models. It has massively good support with big data. For that we …
H2O
H2O
H2O
Overview
What is H2O?
H2O.ai is an open-source predictive analytics and machine learning platform.
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What is H2O?
H2O.ai is an open-source predictive analytics and machine learning platform.
Entry-level set up fee?
- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
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Product Demos
H2O Driverless AI Demo
06:02
Product Details
- About
- Tech Details
What is H2O?
H2O.ai is an open-source predictive analytics and machine learning platform.
H2O Video
Watch this end-to-end demo of H2O Driverless AI.
This demo includes:
(1) Data Visualization
(2) An AI experiment
(3) Machine Learning Interpretability
(4) One-click deployment
(5) Bring Your Own Recipe
This demo gives you the perfect overview in just over 6 minutes!
H2O Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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Reviews and Ratings
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September 18, 2019
H2O AutoML superb!!
We use H2O.ai for building End to End auto pipelines for machine learning models. It has massively good support with big data. For that we use H2O's Sparkling Water. As far as I have experienced, H2O gives the highest accuracy among all other autoML tools. I have used it in our one of the projects and I had to deliver in just 1 week. Building an ML model with H2O, as well as fast training and auto tuning, helped me a lot.
- AutoML
- Bigdata support with H2O's Sparkling Water
- more state of the art algorithm can be added
- Containerization facilities like Docker should be given
80%
8.0
85%
8.5
93.33333333333334%
9.3
100%
10.0
90%
9.0
I have used Knime, RapidMiner, and Weka before I heard about H2O, but amongst all I really liked H2O. However, nowadays Googles AutoML and AWS SageMaker AutoML platform are really competitive, but more costly than H2O.
August 16, 2018
Custom H2O implementation
H2O is used as a core tool across the whole organization. The primary business we are in is measuring the Return on Ad Spend (ROAS) for advertisers, media companies and CPG marketing and product companies.
- Flexible modeling including Ensemble
- Open Source - so that we can know what is really happening and can request changes when needed
- Ability to scale up horizontally by provisioning dynamic clusters
- Access to core development team and speed of problem resolution and feature additions
- Better documentation
- Improve the Visual presentations including charting etc
- Positive impact: saving in infrastructure expenses - compared to other bulky tools this costs a fraction
- Positive impact: ability to get quick fixes from H2O when problems arise - compared to waiting for several months/years for new releases from other vendors
- Positive impact: Access to H2O core team and able to get features that are needed for our business quickly added to the core H2O product
H2O provided all the needed features such as Linear Modeling, Targeted Learning, Predictive Analytics including GLM, Trees, Neural networks and ensemble with ease. We are also able to pick and choose what we want without deploying all the bulky tools unlike others. Able to package H2O jar with our home grown code for remote deployments without worrying able expensive licenses.