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Entry 124400

This serie of blog posts explains how retailers can use AI-based decision intelligence platforms to optimize their ad spend by collecting and analyzing data, predicting outcomes, and recommending actions. By following best practices and real-world examples, retailers can improve their ROI, reduce wasted ad spend, and make smarter decisions about their marketing budget.

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How to choose the right TS model for your prediction

Choosing the right model for predicting a time series is always a tedious task. In this article, we will browse the points to consider to make the right choice.

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Content extraction from web pages using Machine Learning

Web scraping technique of extracting the content of websites, via a script or a program, in order to transform it to allow its use in another context...

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Verteego now a proud Google Cloud Platform Partner

Our technical team now has access to a preferred network of experts from Google to support Verteego in its effort to deliver solutions for customers effectively...

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Case study - Clean and verify emails using Verteego Data Science Suite

As you might have experienced, after a while the quality of an email database decreases as people change their company or jobs, organizations change their name, mail servers are shut down, etc...

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