H2O.ai Valuable Features

Rahul Koduru
Director of Data Engineering at Transamerica
It is helpful, intuitive, and easy to use. The learning curve is not too steep. View full review »
ArnabSen
Associate Principal at a consultancy with 501-1,000 employees
The most valuable features are the machine learning tools, the support for Jupyter Notebooks, and the collaboration that allows you to share it across people. View full review »
MvpOfMac4841
Managing VP of Machine Learning at a financial services firm with 10,001+ employees
One of the most interesting features of the product is their driverless component. The driverless component allows you to test several different algorithms along with navigating you through choosing the best algorithm. It also gives you an interpretability capability which allows you to have some understanding of what's inside the algorithm and why it's behaving a certain way, making sure you are not bias towards the outcome. View full review »
Find out what your peers are saying about H2O.ai, Knime, Microsoft and others in Data Science Platforms. Updated: February 2020.
398,050 professionals have used our research since 2012.
Mustafa Kirac
Principal Data Scientist
* Fast training * Memory-efficient DataFrame manipulation * Well-documented, easy-to-use algorithms * Ability to integrate with enterprise Java apps (through POJO/MOJO) These are the main reasons why we switched from Spark to H2O. View full review »
DataScie1afc
Data Scientist with 51-200 employees
The ease of use in connecting to our cluster machines. View full review »
reviewer1007100
Supervisor in Research and Development Area with 1,001-5,000 employees
Jaideep Kekre
Associate Consultant at a tech services company with 201-500 employees
AutoML helps in hands-free initial evaluations of efficiency/accuracy of ML algorithms; with training input data. View full review »
Find out what your peers are saying about H2O.ai, Knime, Microsoft and others in Data Science Platforms. Updated: February 2020.
398,050 professionals have used our research since 2012.