We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

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

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

Co-curricular committee & Hobby project club in association with ISTE student chapter & Institute Innovation Council of ...

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

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between ...