Abstract: A technology is described for automating deployment of a machine learning model. An example method may include receiving, via a graphical user interface, credentials for connecting to a data store containing a plurality of datasets and connecting to the data store using the credentials. A selection of a target metric to predict using the machine learning model can be received, via the graphical user interface, and datasets included in the plurality of datasets that correlate to the target metric can be identified by analyzing the datasets to identify an association between the target metric and data contained within the datasets. The datasets can be input to the machine learning model to train the machine learning model to generate predictions of the target metric, and the machine learning model can be deployed to computing resources in a service provider environment to generate predictions associated with the target metric.

Abstract: A game for children for aiding them in learning their arithmetic tables, particularly multiplication, the game includes a game board with a centrally located transparent hemispheric shell mounted on a flexible leaf spring, a plurality of dice which are contained within the hemisphere then become changed in position by depressing and releasing the hemispheric shell and a peg board with associated pegs for scoring correct answers to the changed dice by one or the other of two players. The game board includes a receptacle for storage of the pegs, the receptacle having a slide cover on which the arithmetic tables are set forth for verifying the answer of the player whose turn it is to provide the correct answer to the arithmetic operation displayed.