Mathematical modelling is used to describe certain processes and their patterns with mathematical models and to find out how certain factors affect output results of processes. E.g. mathematical models in marketing and sales can be applied to solve the following tasks:
Machine learning can also be utilized for other business processes, e.g. scoring applications of any types (loan request, mortgage, insurance, etc.).
Machine learning requires a certain data set that can be processed using special methods and given to the computer system to deduce patterns and regularities that lead to this or that output result. Basic algorithms include linear regression, logistic regression, least squares method, k-means, support vector machines and also direct, convolutional and recurrent neural networks.
WebProfiters analysts can solve any problems if required amount of data is provided. Our clients, who used our data analysis services, include such cases as:
We will be happy to apply our expertise to your particular business case. Machine learning and AI in business may be available to you right now. Leave a request, so that we could contact you and give you a free consultation on possible applications of artificial intelligence algorithms in your business.
|Real cases of using mathematical models in business (we do not talk the talk, we actually walk the walk)|
|We know both how to build a data set from different sources into a unified repository and how to run data matching|
|We know a great number of machine learning algorithms for various business cases|
|We used machine learning and mathematical models “before it became mainstream”|