![]() The data is then cleaned in order to mold it into a structure that can be plugged into the machine learning algorithms. For example, In predicting the impacts of customer engagement for a retail firm, RapidMiner would first have to work with the retailers marketing team to gather all historical promotional and transactional data, including any marketing flyers, in-shop promotions, and purchase histories for a particular product. RapidMiner claims that they can help businesses achieve the above results by leveraging the client’s historical enterprise data.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |