Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Piece-wise non-linear regression is a long-standing problem in the machine learning domain that has long plagued machine learning researchers. It is extremely difficult for users to determine the ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box!

Understand how the Adagrad optimizer works and build it from scratch in Python—step-by-step and beginner-friendly.

These implementations are for learning purposes only. Therefore they may be less efficient than the implementations in the Python standard library.

Unlike the previous studies, the RNGH-based algorithm can effectively resist the negative effects of outliers with full consideration of all random errors in various linear and nonlinear fitting ...

Abstract: To address the issues of low accuracy and poor adaptability in traditional dynamic parameter identification methods for heavy-haul trains, this article proposes a polynomial nonlinear ...

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We’re looking for an Advanced Back-End Developer with a strong technical foundation and a drive to work on cutting-edge, cloud-based applications. This is an opportunity to play a pivotal role in the ...