Deleting custom maps

Custom maps are great! I love how you can simply visualize your data in any given way – I’ve previously covered maps with some examples – see here. But some times you may want to delete custom maps; some might be too large and you made a more optimized version or your sales regions have ...

Tree-Based Learning Algorithms in Einstein Discovery

The primary goal of this blog post is to provide technical information on the addition of tree-based machine learning (ML) algorithms to Einstein Discovery in the Summer ’20 Release. This article helps readers understand the capabilities, benefits, and details of ensemble (tree-based) algorithms in Einstein Discovery. Tree-based algorithms go beyond Einstein Discovery’s traditional focus on ...

Estimate Propensity to Buy with Einstein Discovery to improve sales excellence

In order to satisfy increasingly diversified customer demands, product and service portfolios are steadily becoming larger. B2B and B2C companies are expected to guide their customers to the best fitting bundle in their large panoply of products. Predicting the likelihood of a customer or prospect purchasing a particular product is essential and requires a deep ...

The Delicacy of Accuracy: A Deep Dive on Classification Performance

The accuracy of Machine Learning models gives rise to one of the most confusing discussions in the world of Machine Learning. There are multiple reasons for that. First, many different performance metrics are used, which makes fair comparisons and transparent discussions hard. Secondly, expectations are often unrealistically high, caused by extremely overblown media coverage of ...