The goal of a machine learning regression problem is to predict a single numeric value. Quantile regression is a variation where you are concerned with under-prediction or over-prediction. I'll phrase ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...

The USDSI Certified Data Science Professional (CDSP) program equips learners with industry-ready skills in Data Science, ...

One of the lesser-realized but very important elements of artificial intelligence is real-time adaptation and decision-making. Where is this important, one might ask? The ability to process ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...