Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates weights efficiently in machine learning. #MachineLearning #LogisticRegress ...

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.

ABSTRACT: Introduction: The global increase in maternal age at conception, facilitated by socio-economic advancements and assisted reproductive technologies, has led to a rise in so-called geriatric ...

Objective This study intended to examine the prevalence and correlates of depressive symptoms among inmates in Kaliti Prison Centre, Addis Ababa, Ethiopia. Methods A facility-based cross-sectional ...

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 ...

NOTE: This course will be delivered in hybrid mode, i.e. the in-person lecture will be transmitted live on zoom. The face-to-face part of the hybrid courses will go ahead conditional on at least 5 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

A two-days practical PC-based workshop, following on from the introduction, presenting more advanced statistical techniques such as ANOVA, ANCOVA, Multiple Regression, Logistic Regression, ROC Curves ...

Abstract: SPSS26.0 software-assisted construction of logistic regression model, in order to study the increment of employment ability and its influencing factors of engineering postgraduates. The ...