DataRobot Blog

In our last blog on this subject, we built a machine learning model to predict whether or not a pitch will be called a strike, and used it to evaluate the ability of major league catchers to frame the pitches. In closing, we mentioned that there was a problem with using the logistic regression approach for this model. The problem…

More and more companies have been asking me about multichannel marketing attribution, especially since we posted the popular white paper and webinar on this topic. Two of the most common questions I’ve received are: Why do I need game theory to do marketing attribution (and how does a Shapley Value work)? Why do I need a model to do marketing attribution?…

You are the Director of Technology at a Fortune 500 company and have been recently put in charge of product selections. You are asked to select a vendor product for a relatively new, yet fast maturing technology called machine learning — specifically for a product that does automated machine learning. This blog, written from an engineer’s perspective, will walk you…

The process of software development has changed dramatically over the last 20 years. Eric Raymonds, a noted open source software developer, pushed back against software that was “built like cathedrals, carefully crafted by individual wizards or small bands of mages working in splendid isolation, with nothing to be released before its time.” This is known as the waterfall methodology, which…

The European Union (EU) is about to introduce new obligations for companies handling and analysing data about EU citizens. The General Data Protection Regulation (“GDPR”) will take effect on May 25th, 2018, in order to keep pace with the modern digital information landscape. The regulation aims to reinforce the data privacy rights of consumers, and to simplify the flow of…

As sports leagues continue to add additional real-time player tracking technologies (e.g. Statcast, NBA player tracking, NFL Next Gen Stats), the amount of data available to analyze and understand (and potentially predict) player performance is growing at an incredible rate. Unfortunately, it is very difficult for us to make sense of this volume of data. The only way to get…

Driving value into the model validation process using automated machine learning In recent years, the big data revolution has expanded the integration of machine learning models into more and more business processes. It is no surprise that accurate models are a valuable asset to any business. However, due to an increased reliance on models for everyday business processes and decisions,…

Recently, DataRobot achieved AWS Machine Learning Competency Status and announced its approval as an AWS Machine Learning Partner. Now, with DataRobot on Amazon Web Services (AWS), you can apply all the benefits of the cloud to your machine learning initiatives. There are huge benefits to utilizing all that AWS has to offer, including the ability to increase the speed of…

For many years, researchers have been trying to figure out how to leverage machine learning in the field of cybersecurity. The fruits of that research are finally being realized in the form of enterprise-grade defense systems. That is, systems that can automatically learn and adapt to the ever-evolving landscape of cyber threats. This transition is evidenced by the exponential increase…