AutoML’s ability to detect patterns and predict can out-perform algebraic formulas and Boolean logic in common tasks. Anyone who has written a formula in Excel or adjusted parameters in an online application knows how even the smallest change can produce dramatically
Parameters are functions of training data. Hyperparameters are settings used to tune model algorithm performance. In Automated Machine Learning (AutoML), data sets containing known outcomes are used to train models to make predictions. The actual values in training data sets
Bias occurs when ML does not separate the true signal from the noise in training data. Biases in AI systems make headlines for results such as favoring gender in hiring, recommending loans based on ethnicity, or recognizing faces differently based on race.
CRM and Marketing Automation systems have offered lead scoring features for decades. The notion of using arithmetic to turn qualification criteria and behavioral data into a simple-to-consume number makes sense. Business development and sales teams always appreciate guidance on which
Squark is a no-code AI as a Service platform that helps data-literate business users make better decisions with their data. Squark is used across a variety of industries & use cases to uncover AI-driven insights from tabular and textual data, prioritize decisions, and take informed action. The Squark platform is designed to be easy to use, accurate, scalable, and secure.