Hannah Patrick - Rittman Mead

The Importance of Feature Engineering and Selection

In machine learning your model is only ever as good as the data you train it on. As such a significant proportion of your effort should be focused on creating a dataset that is optimised to maximise the information density of your data. Feature engineering and selection are the methods

data science

Common Questions and Misconceptions in The Data Science Field

There are many types of scenarios in which data science could help your business. For example, customer retention, process automation, improving operational efficiency or user experience. It is not however always initially clear which questions to concentrate on, or how to achieve your aims. This post presents information about the

Technical

Exploring the Rittman Mead Insights Lab

What is our Insights Lab? The Insights Lab offers on-demand access to an experienced data science team, using a mature methodology to deliver one-off analyses and production-ready predictive models. Our Data Science team includes physicists, mathematicians, industry veterans and data engineers ready to help you take analytics to the next