How Should Dates and Times be Modeled?

Factoring and Time Series How date and time features are important in models. Many data sets contain date-time fields which we hope will provide predictive value in our models. But date-time fields in the form of MM-DD-YYY HH:SS are essentially unique

What Is Feature Engineering?

What Is Feature Engineering? Data sets can be made more predictive with a little help. “Features” are the properties or characteristics of something you want to predict. Machine learning predictions can often be improved by “engineering”— adjusting features that are

Why 50% Isn’t Always The Prediction Cut-off

There Is this “F1” Thing Why 50% probability isn’t always always the prediction cut-off. Say you are classifying 100 examples of fruit and there are 99 oranges and one lime. If your model predicted all 100 are oranges, then it

Feature Leakage – Causes and Remedies

Do your models seem too accurate? They might be. Feature leakage, a.k.a. data leakage or target leakage, causes predictive models to appear more accurate than they really are, ranging from overly optimistic to completely invalid. The cause is highly correlated

Your Data Does Not Have to Be Big

Your Data Does Not Have to Be Big In fact, certain algorithms work well with smaller datasets. Some models do require big datasets to deliver significant predictive power. But don’t assume that you need hundreds of feature columns or millions of

Can AI Help Retail Store Salespeople Sell More?

The best retail sales people excel because they attract customers, serve them well, and keep them coming back. They understand individual tastes and show complementary styles and accessories, boosting sales volume and customer satisfaction at the same time. Underlying this

Press Release: Squark Launches Codeless AI that Transforms How Business Analysts Deliver Accurate Predictions

With AI-powered analytics now as easy as a spreadsheet, Squark Seer equips any organization to make decisions based on probabilities instead of guesses Burlington, MA – Feb. 28, 2019 – Squark, a software as a service (SaaS) predictive analytics provider,

Why Marketers Need Automated Machine Learning

We can imagine that marketing before computers was primarily based on intuition. Sure, managers had ledgers that allowed them to see sales lift from advertising campaigns, but without insights about which customers were responding to which programs. (We’ll spare you

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Why You're Ready for Predictive Insights
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The Next Step in Predictive Analytics: Predictive Customer Insights

Squark is a no-code predictive analytics SaaS that automatically analyzes business data you work with every day to predict customer outcomes, uncover new and unforeseen business opportunities, and mitigate risk. It is a simple and easy-to-use AI software that doesn’t require data science nor technical expertise.  In a matter of clicks, make confident, data-backed decisions about what your customers will do next and understand why to increase your business impact. 

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