In the world of machine learning, we often encounter two important concepts: the raw propensity score and probability. Though they may sound similar, they represent distinct aspects of a machine learning model's predictions.
· Thibault Dody
If Jane Doe in your population has a 0.8 probability score, there’s an 80% chance that she will achieve the outcome. Marketing campaigns have never been so predictable.
· Patrick Doherty
Google just announced you can use Bard in BigQuery to do Generative AI at scale. That means you can run your queries right inside of your data warehouse, where your data lives.
· Seamus Abshere
Predictions are complex, and consumer predictions for marketing aren’t an exception. In many cases, you might find yourself given the green or red light to go after a lead, prevent a churn, or approach a customer in another way that’s specific to a business goal your org has.
· Patrick Doherty
An algorithm contains the biases of its builder. At Faraday, we have a handful of approaches we use to minimize these effects at each level of our machine learning pipeline.
· Faraday
Using machine learning to identify customer personas in your data can help improve your understanding of your customer base, and with the right infrastructure, deliver personalized experiences at a greater scale.
· FaradayThis site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.