“Just in 4 easy steps, you can easily model your historical data and produce results with real time data irrespective of the industry type and data size. Typical solutions can go live in less than a week!”
In order to make any Ai/ML/DL predictions, we need to start with the historical data that your business generates. In most cases the data might come from several disparate sources
Here we take the good values for all the weights and the bias from labeled examples. We then use the supervised/unsupervised learning techniques, where the selected algorithm(s) build a model
An artificial neural network model is based on the calculation of linear formulas and activation functions with weights, biases (i.e. their “settings”) being adjusted with each calculation.
This is the output of an algorithm after it has been trained on a representative dataset (historical data) and applied to the new data when forecasting the likelihood of a particular outcome
Key Benefits of Minsky™