Overall Satisfaction with Oracle Machine Learning (formerly Oracle Advanced Analytics)
Oracle Machine learning (formerly OAA) addresses a wide range of problems related to big data and data analytics. It helps the analytics team to analyze huge chunks of raw data obtained for research purposes. This data can come from open source, or medical equipment companies, and more.
- Analyzing heaps of data dumped into the machine learning tool.
- Giving the researcher an insight on which direction to proceed in order to get the desired results.
- Can help perform a functional analysis before doing a deep dive.
- Pricing for tools integrations is [a] big negative aspect.
- Formatting is not as user friendly as it looks.
- I encountered issues with loading large amounts of data for research purposes.
- Though it is a bit pricey when it comes to other standalone open source ML tools, the ability of Oracle Machine Learning on feature selection is icing on the cake.
- A few of my peers have used it with R as well and they were all praises for the functionality it has to offer.
- One of my research papers needed me to use Oracle Machine Learning with OML4py on a python environment and I absolutely was satisfied with the outcome.
Do you think Oracle Machine Learning delivers good value for the price?
Yes
Are you happy with Oracle Machine Learning's feature set?
Yes
Did Oracle Machine Learning live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Oracle Machine Learning go as expected?
I wasn't involved with the implementation phase
Would you buy Oracle Machine Learning again?
Yes