Machine learning

1 h

19.99 US dollars

Location 1

Service Description

These are unsupervised methods that have been applied in many complex data situations to help in discovering patterns. Do you have much data and no hypothesis? Have standard approaches not been promising? It’s time to try machine learning, Bayes and neural nets, or even deep learning. Some of the common methods we have used are Classification and regression trees K Nearest Neighbors (KNN) Classification and regression random forests Naive Bayes classifier Support Vector Machine One-class Support Vector Machine k-means clustering Fuzzy k-means clustering Gaussian mixture models Association rules Case One of our clients had a massive amount of service subscription data, which had been stored in 2 legacy systems. One of the biggest challenges was that the systems were not speaking to each other and had different types of data. Using machine learning, we were able to integrate the datasets in a modern business intelligence system and run a couple of analysis including prediction, anomaly detection, diagnostics, automating insight, reasoning, and time series prediction. The result was very handy in decision making under uncertainty.

Contact Details

+254721972813
info@africanstat.com