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

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

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

Aspens and standing dead trees, which are important to forest biodiversity, can be reliably identified from openly available ...

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

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

Snapchat gave users nine years to accumulate memories, and will now charge them to keep those memories. Behavioral economics reveals why this feels like psychological coercion.

Advisers are heading into 2026 with more technology at their fingertips than at any point in the profession's history, yet ...

AI payoff is a maturity problem: tangible returns happen when you rewire how work gets done and how you plan to win.

Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex ...

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...