Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

Gamma synchrony is ubiquitous in visual cortex, but whether it contributes to perceptual grouping remains contentious based on observations that gamma frequency is not consistent across stimulus ...

This article addresses this issue by exploring an artificial intelligence-based approach, using a multinomial logistic regression model incorporating ten variables: six academic grades out of 20 and ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

Logistic regression. Linear regression. Outcome variable . Models binary outcome variables. Models continuous outcome variables. Regression line. Fits a non-linear S-curve using the sigmoid function .

Linear regression. Logistic regression. Outcome variable . Models continuous outcome variables. Models binary outcome variables. Regression line. Fits a straight line of best fit. Fits a non-linear ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

Next, the demo trains a logistic regression model using raw Python, rather than by using a machine learning code library such as Microsoft ML.NET or scikit. [Click on image for larger view.] Figure 1: ...