H2O Artificial Intelligence
H2O.ai | 1.0Linux/Unix, Other 20170411 - 64-bit Amazon Machine Image (AMI)
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Excellent framework and application
What do you like best about the product?
Excellent support for commercial product Driverless AI. Rapid iteration. Performance is generally better than one can be achieved in code.
What do you dislike about the product?
Actually nothing. The combination of proprietary and open source tools, Driverless AI and H2O, provide tools across a full range of use cases.
What problems is the product solving and how is that benefiting you?
We work in both financial services and biological research.
Recommendations to others considering the product:
Take advantage of the 30 day trial.
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h2o is my personal data scientist
What do you like best about the product?
h2o offers a well validated, fully automated, rigorous machine learning pipeline including state of the art model interpretation allowing for prediction and inferences.
What do you dislike about the product?
i have nothing dislike about h2o's products.
What problems is the product solving and how is that benefiting you?
my scientific questions involve biomedicine, neuroscience, and psychology
Great Machine Learning Framework
What do you like best about the product?
The ability to try out multiple models with a few lines of the code is the greatest benefit
What do you dislike about the product?
H20 does a good job in abstraction of underlying transformation and tuning steps, which could be a bit challenging
What problems is the product solving and how is that benefiting you?
1. Policy Lapse Predictor - the biggest benefit is the automation of model tuning
Recommendations to others considering the product:
Great framework
Great ML framework
What do you like best about the product?
This is a cross-platform, integrated framework for ML that is continuing to evolve with topics important to data scientists.
What do you dislike about the product?
Developing support for a wide range of NLP preprocessing
What problems is the product solving and how is that benefiting you?
Problems in academic research and healthcare
A very good experience with Machine Learning
What do you like best about the product?
AutoML is a great product. They have other ones, but AutoML is the most impressive.
What do you dislike about the product?
Nothing, maybe the integration with Spark could be improved but only in little details.
What problems is the product solving and how is that benefiting you?
Forecasting models and finding for best algorithms for my datasets
Recommendations to others considering the product:
It's an amazing set of tools, easing the use of machine learning and giving a lot of advances to write & discover models.
Good Customer support
What do you like best about the product?
Being a user I really enjoyed the support and dedication that team shown to help us is really great!
What do you dislike about the product?
H2O should stay ahead of the curve to give support to new technology stacks like databricks.
What problems is the product solving and how is that benefiting you?
We use H2O for our model building
H2O.ai is a great tool who wants to build a scalable and interpretable machine learning pipeline.
What do you like best about the product?
I find it most helpful that it provides GUI for users to estimate how long the model will run as well as the water meter showing how the resources are used along the modeling process.
What do you dislike about the product?
H2O Frames have very limited data processing options compared to python pandas or pyspark dataframes. If we can have more data maneuverability, I think it would help a lot.
What problems is the product solving and how is that benefiting you?
Purchase forecasting, employee estimation, etc.
Recommendations to others considering the product:
I believe it is a great tool for those who are looking to establish ML pipeline with ease.
Driverless AI application for Auomated Machine Learning and Data Analytics
What do you like best about the product?
Easy to use with good UI design and automated ML function. Driverless AI has strong capability on the auto feature engineering and system visualization. The auto feature engineering has supported different machine learning algorithm (Random Forest, Decision Tree, Neural Network, Deep Learning, etc.) and feature parameter tuning (accuracy, time, system computing etc.) The system also helps user to reduce time and efforts for hyparemeter tuning and compare the model with different settings. This will optimize the process and provide the most efficient model for prediction in classification or regression domain. Besides, Driverless AI also has good UI design and visualization. The UI also supports end user to quickly import data, visualize data in different categories, as well as check on the system running and performance during the Auto ML process. The end user could also observe experiment summary and accuracy matrix, as well as model comparison in term of accuracy.
In addition, Driverless AI also supports the AI Interpretation to explain on the model and performance. This function is very helpful to end user for understanding the Machine Learning blackbox, as well as management team for decision making based on extensive information.
In addition, Driverless AI also supports the AI Interpretation to explain on the model and performance. This function is very helpful to end user for understanding the Machine Learning blackbox, as well as management team for decision making based on extensive information.
What do you dislike about the product?
It is great if Driverless AI could support deployment for edge computing, which is common in IoT world. The edge computing will require efficient computing and good accuracy with AutoML algorithm. This will help much the customer for deployment.
What problems is the product solving and how is that benefiting you?
Data analytics for predictive maintenance. It could make easy-to-use for system operator.
Recommendations to others considering the product:
Yes, H2O.ai DriverlessAI is a good AutoML platform for company, which does not have Data Scientist.
Excellent software - great addition to a data science team
What do you like best about the product?
Excellent support. Useful and reliable software. Easy to deploy.
What do you dislike about the product?
No issues. The software works very well.
What problems is the product solving and how is that benefiting you?
Predictive analytics in credit and marketing. Software works well in our systems.
Excellent machine learning tools
What do you like best about the product?
Good integration between development and production. Simple and powerful visual interface to complex backend. Very rapid iteration of products, continuous improvement.
What do you dislike about the product?
Price is high for closed source product, Driverless AI. It's worth it if you have a serious application, but the cost is an impediment to early adoption.
What problems is the product solving and how is that benefiting you?
Streamlining our process for generating and deploying machine learning models.
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