This project implements linear regression from scratch, using only Python and math — no machine learning libraries like scikit-learn are used. It's a great educational example of how linear regression ...

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

This work leverages recent advances in probabilistic machine learning to discover governing equations expressed by parametric linear operators. Such equations involve, but are not limited to, ordinary ...

Abstract: Quantization is an effective method for compressing Deep Neural Networks. Now, it is considered to accelerate the traditional HPC applications. In this article, we present a quantization ...

Abstract: The anticipation of potential failures and provision of early warning signals are enabled by predictive maintenance, playing a vital role in ensuring the optimal performance and reliability ...

Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

The Trump administration is considering a set of proposals developed by Blackwater founder Erik Prince and a retired CIA officer — with assistance from Oliver North, a key figure in the Iran-Contra ...

Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States Energy Storage Research Alliance, Argonne National Laboratory, 9700 South Cass ...

Department of Materials Science and Engineering, National Taiwan University, Taipei 10617, Taiwan ...