Credit Risk Modeling: Importance, Model Types, and 10 Best Practices What Is Credit Risk Modeling? Credit risk is the likelihood that a borrower will default on a loan or credit obligation. It... Read more >
Dynamic Pricing Models: Types, Algorithms, and Best Practices What Are Dynamic Pricing Models? Dynamic pricing models are pricing strategies that allow businesses to adjust their prices in real-time based on... Read more >
How Recommender Systems in eCommerce Boost Sales What Are Recommender Systems in eCommerce? A recommender system is a type of information filtering system that predicts and recommends items that... Read more >
Machine Learning for Business: Use Cases and 5 Steps to Success What Is Machine Learning for Business? Machine learning is the use of artificial intelligence algorithms and statistical models to analyze data, identify... Read more >
Credit Risk Monitoring: The Basics and AI/ML Techniques What Is Credit Risk Monitoring? Credit risk monitoring is the process of continuously evaluating and monitoring the creditworthiness of borrowers, to determine... Read more >
Feature Importance: 7 Methods and a Quick Tutorial What Is Feature Importance? In machine learning, feature importance scores are used to determine the relative importance of each feature in a... Read more >
What Are Recommender Systems? Use Cases, Types, and Techniques A recommender system, also known as a recommendation system, is a subclass of information filtering systems that seeks to predict the “rating”... Read more >
What is Model Drift and 5 Ways to Prevent It Model drift refers to the change in the statistical properties of the target function that a machine learning model is trying to... Read more >
Data Drift: Types, Detection Methods, and Mitigation What Is Data Drift? Machine learning models are only as good as the data they ingest during and after training. Data drift... Read more >
What Is Machine Learning Engineering? Machine learning engineering is the use of scientific principles, tools, and techniques to design and build complex computational systems. From data collection... Read more >
