Predictive modeling is a powerful data science technique that can help you make informed decisions based on historical data and patterns. It involves creating and testing mathemat ...

Effective AI-driven predictive maintenance begins with comprehensive data collection. Data centers generate vast quantities ...

Besides being somewhat of a buzzword in many sectors, artificial intelligence (AI) in drug development shows the potential to ...

For our PAI course project, we are building several disease prediction systems, including heart disease, diabetes, Parkinson's, and breast cancer classification. Using machine learning algorithms, we ...

Big data analytics continues to evolve rapidly, driven by advancements in technology and the increasing demand for ...

As today’s businesses work to adapt to the new era of AI, one of the big questions is whether to trust this technology to ...

This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning by X. Zhang, K. Zhang, Z. Li, and X. Yin. The objective of this ...

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Indra's journey into model risk management began during his time as a data analyst working with predictive models. The ...

Difficult times are predicted for the Aerospace/Defense sector. Here we take a look at what ValuEngine’s data-based models ...