Welcome to DSx ... DSx is welcomed by us!
- DSx is very useful for viewing data from different points of view (via Watson Analytics)
- DSx is very powerful with its Python and R ambient integrated within
- DSx is a good tool for collaborative machine learning procedures
- By now we are just testing but it surely had a good impact on the time reduced for getting such powerful analysis
- Predictive analysis
- Descriptive analysis
- analysis of data integrity
- with DSX we have found several new points of view on the matter that concerns our analysis: it made possible to watch our data from 2 steps backwards and that allowed us to move 4 steps forward on our comprehension of the phenomena that we were studying
- we are thinking about what we call DSX over DSX which means that, according to the results we found and to the paths that lead us to them, we are modyfing our own procedures as well and they became our new field of study: the time used for 'cleanin' data has been well spent because now we can think about their structure and remodelling the whole procedure that concerns with data itself
- Product Reputation
- Existing Relationship with the Vendor
- Implemented in-house
- watson analytics
- predictive analysis
- Online training
- In-person training
- Self-taught
- Notebook editing with the integrated interpreter of code
- Not yet had this experience