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

Machine learning (ML) is widely applied in a variety of applications. Despite its great success, it is commonly developed in closed-environment scenarios where some important factors of the learning ...

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

Enterprises need to start thinking differently about cybersecurity to get ahead of bad actors. In association withDeep Instinct Cybersecurity professionals are constantly looking for new and ...

There’s a relatively new decision bias that’s rampant in business. We could call it the “machine learning illusion.” We don’t mean that machine learning isn’t useful. It clearly can be. From banking ...

How can machine learning help determine the best times and ways to use solar energy? This is what a recent study published in Advances in Atmospheric Sciences hopes to address as a team of researchers ...

Researchers have found that machine learning can be used to examine the relationship between bacterial population growth and environmental factors. The research reveals that the different population ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

One of the leading causes of infectious diseases in refugee settlements is waterborne illnesses. The good news is that a research team from York University has developed a new method that will keep ...