Utility companies are turning to machine learning to lower customers’ energy bills — and their own. They can offer better prices for consumers when overhead and operational costs are lower, creating a win-win situation for everyone involved. Here’s how machine learning and AI are making power... Read more

The majority of us who work in machine learning, analytics, and related disciplines do so for organizations with a variety of different structures and motives. These could be for for-profit corporations, not-for-profits, charities, or public sector organizations like the Government or Universities. In pretty much all... Read more

We already know a single decision tree can work surprisingly well. The idea of constructing a forest from individual trees seems like the natural next step. Today you’ll learn how the Random Forest classifier works and implement it from scratch in Python. This is the sixth of many... Read more

Interpretable machine learning techniques are becoming more popular among the data science community as more and more complex machine learning algorithms are adopted which are not easily interpretable. Model-Agnostic Interpretation techniques do not care about the underlying models, but they have the capability to interpret the... Read more