Data science roles in the industry

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
BMJ Open

Predicting burnout, anxiety and depression among Canadian healthcare professionals during the COVID-19 pandemic: a cross-sectional secondary analysis study

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...
Learn With Jay on MSN

Neural network cost functions: Which to use and why?

In this video, we will see what is Cost Function, what are the different types of Cost Function in Neural Network, and which cost function to use, and why. We will also see Loss Function. Loss ...
Sports Illustrated

This player's regression is creating a major problem for the 49ers

One of the fun revelations of the season was Ji’Ayir Brown rising back into a starting spot for the San Francisco 49ers. However, the fun story is starting to sour at a bad time for the team and it is ...
IEEE

Data-Driven Power Flow Linearization via Hybrid Regression and Classification for Accurately Enforcing Network Constraints

Abstract: This letter proposes a novel power flow (PF) linearization method for accurately enforcing network constraints in optimal dispatch problems. Unlike conventional linearization methods that ...
Frontiers

Absorbent material composition prediction based on multi-objective regression with value stacking and selection

1 College of Computer Engineering, Jimei University, Xiamen, Fujian, China 2 China-Belarus “Belt and Road” Electromagnetic Environmental Effects Laboratory, China Electronics Technology Group ...
IEEE

Gradient Boosting-Based Simultaneous Classification and Regression Approach

Abstract: The recent development of advanced data analytics and machine learning promoted the introduction of diverse learning techniques designed to alleviate challenges related to two major ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...
Scientific Research Publishing

Zaidi, A. and Al Luhayb, A.S.M. (2023) Two Statistical Approaches to Justify the Use of the Logistic Function in Binary Logistic Regression. Mathematical Problems in ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
Visual Studio Magazine

AdaBoost Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for regression problems (where the goal is to predict a single numeric value). The ...