How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
GitHub

Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex QCQPs

To cite the contents of this repository, please cite both the paper and the INFORMS Journal on Computing GitHub repo, using their respective DOIs.
IEEE

Convergence Bounds for Federated Learning for Linear Regression Model Tuning in Communication Systems

Abstract: Linear regression models are increasingly becoming important in communication system operational efficiency improvement with applications in prediction-based demodulation in Non Orthogonal ...
IEEE

Adaptive Learning for Quantum Linear Regression

Abstract: The recent availability of quantum annealers as cloud-based services has enabled new ways to handle machine learning problems, and several relevant algorithms have been adapted to run on ...
Devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
How-To Geek on MSN

Why NumPy is the Foundation of Python Data Analysis

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...
TheServerSide

Google Professional Machine Learning Engineer Certification Practice Exams

First, pick your designation of choice. In this case, it’s Google’s Professional Machine Learning Engineer certification. Then look up the exam objectives and make sure they match your career goals ...