Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...

This code example demonstrates how to run through the ModusToolbox Machine Learning (MTB-ML) development flow with PSoC 6 MCU, where the end user has a pre-trained Neural Network (NN) model, which can ...

Linear regression in machine learning is considered as the basis or foundation in machine learning. This video explains the entire maths and the algorithm behind What is Linear Regression in ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Here’s how to build a PC for AI and machine learning workloads, so you can keep your data secure and private, and ensure the AI is always ready and waiting for you.

Jiang and other scholars established an easy to understand OPLS-DA model based on only two descriptors, and the accuracy of the model was as high as 93% and 79% (Matsson et al., 2007; Jiang et al., ...

Graphical Abstract. The presenting diagram, is showing the flow of our data gathering and method for the study. There are two data sources which ultimately have been used in a 10-fold cross-validation ...