Purdue University’s six-month Professional Certificate in Data Science and Generative AI is available online through ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

A machine learning classification model helps to group data into pre-defined classes. For instance, the model can look at past data to group players into “High-Value,” “Regular,” or “At-Risk” classes.

Recent years have seen a significant increase in the availability of large datasets for agriculture applications. Remote ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

Counterfeit pharmaceuticals jeopardize public health worldwide, often leading to ineffective or dangerous treatments. Enter ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.