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, ...

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...

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

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

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

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 ...

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

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