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 ...

Karan Kumar founded Finobadi to empower waste collectors, recycle 450 tonnes of waste, and create stable incomes while ...

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

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.

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

Oakland alleges that a property owner cut down 38 trees without permits across his land, on city property and on his ...

Anton Glance, co-founder and CTO at Buildroid AI, has more than 10 years of experience in AI, robotics, automation, and ...

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