We have built our data science capabilities around the following three areas:
At Autometrics, we use a branch of Artificial Intelligence (AI), called Machine Learning. Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.
Some of the most widely adopted machine learning methods are supervised learning and unsupervised learning and clustering:
By statistical inference we mean drawing conclusions based on data, putting hypotheses and gut feelings to test, separating signals from noises, leveraging empirical regularities as opposed to chasing red herrings.
At Autometrics, some of the common questions addressed through statistical inference include:
Econometrics is the science of quantifying relationships between observed variables, often using time series-based modelling techniques.