Overfitting and underfitting are two problems that can occur when building a machine learning model and can lead to poor performance. Learn what causes them and how to fix it.
While generative AI has yet to reach its full potential in the workplace, there are use-cases that make it worth the investment. Here’s where AI will be most useful in 2024.
The rectified linear unit (ReLU) activation function introduces the property of nonlinearity to a deep learning model and solves the vanishing gradients issue. Here’s why it’s so popular.
The incumbent wants to promote innovation. The likely GOP nominee wants to protect American business. Both strategies will determine the trajectory of the U.S. tech sector for years to come.
Just as AI gives threat actors a whole new suite of tools to execute attacks, its increasing implementation opens new vulnerabilities as well. Our expert offers tips for protecting yourself.
Logistic regression is a classification technique that identifies the best fitting model to describe the relationship between the dependent and independent variables in a data set.
