Associate Principal at a consultancy with 501-1,000 employees
Dec 26, 2019
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.
Managing VP of Machine Learning at a financial services firm with 10,001+ employees
Dec 11, 2018
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.
Fast training, memory-efficient DataFrame manipulation, well-documented, easy-to-use algorithms, ability to integrate with enterprise Java apps (through POJO/MOJO) are the main reasons why we switched from Spark to H2O.
Managing VP of Machine Learning at a financial services firm with 10,001+ employees
Dec 11, 2018
The interpretability module has room for improvement. Also, it needs to improve its ability to integrate with other systems, like SageMaker, and the overall integration capability.
