The predictive response models used to help identify customers in marketing can also be used to help outbound sales teams improve their call conversion rate by targeting the best people...
Linear regression models are widely used in every industry. They predict a number from a range of other features based on a linear relationship between the input variables (X) and...
The things we search for online can reveal a remarkable amount about us, even when viewed in aggregate on an anonymous level. For many years, Google has made some of...
Image hashing (or image fingerprinting) is a technique that is used to convert an image to an alphanumeric string. While this might sound somewhat pointless, it actually has a number...
As everyone who works in ecommerce will know, stock-outs on your key lines can have a massive negative impact on sales and your marketing costs. In many cases, you’ll be...
Google Cloud Functions make it easy to deploy Python data science applications and models in the cloud as serverless applications. Since it’s inevitable that these applications need to access sensitive...
When you’re building a Natural Language Processing model, it’s the text annotation process which is the most laborious and the most expensive for your business. While you can use tools...
Google Data Studio has native support for a range of platforms, but there’s no reliable means of pushing data in from Python without going via another data source. Google BigQuery...
Google BigQuery is a “serverless” data warehouse platform stored in the Google Cloud Platform. The serverless approach means you don’t have to maintain a server yourself and Google looks after...
