House Prices: Each row corresponds to a selling house features: number of bedrooms, bathrooms, their sizes, garage, etc. The last column in LearnCard is set to 1 if the house was overpriced (not sold in the first 3 months), and to 0 otherwise. Therefore, the Real State agent can use this learning to make his/her business work better for upcoming houses. Click to download LearnCard_House.xlsx and InCard_Houses.xlsx.

Increasing: Each row consists of random numbers which increase randomly by steps of 1 to 10. However, some times there is a fail and the number decreases instead of increasing. We call it category 1 if there is no fail, and category 0 if there is a fail. Click to download LearnCard_Increasing.xlsx and InCard_Increasing.xlsx.

Topological Islands: Each row consists of 1 and 0's; if all the 1's are always within only one compact island -with no 0's in between-, we call it category 1, otherwise, category 0. Click to download LearnCard_Islands.xlsx and InCard_Islands.xlsx.

Statistical Physics - Ising: The two features are the external magnetic field and the measured magnetization from a 2D classical ising system. If the temperature was below 50% the critical temperature, we call it category 1, otherwise, category 0. Click to download LearnCard_Ising.xlsx and InCard_Ising.xlsx.

High Particle Physics - Higgs Detection: Each row is a collission of up to five particles expressed as successions of eight particle detector's parameters in LHCO format. 1 means that a Higgs boson participated in the interaction, otherwise category 0. Click to download LearnCard_LHC.xlsx and InCard_LHC.xlsx.

Upload an excel file with the info the NN should learn. Must consist in N+1 columns: in each row, the first N columns hold a number that describes a feature of the given event (one event by row); whereas the N+1 column is either a 1 or a 0 if the row belongs to a given category or not.

Upload an excel file with only N columns: each column is the same feature as in the previous LearnCard file. The Machine Learning process will add a last column with a 1 or 0, accordingly to what has learned from the patterns taught in the LearndCard file.

Once our server processes your request we'll send you an email with the new excel file consisting in your InCard plus a last column completed by the Machine Learning algorithm.