How-To Geek on MSN

5 powerful pandas techniques every Python user should know

On a lot of DataFrame objects, the index will typically be an ascending list of numbers. If I have something with dates, I ...
Hosted on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Virginia 2025 ...
IEEE

Improved Modulated Model Predictive Control for Three-Level NPC Inverter-Fed PMSM Drive With Ternary Partial Derivative-Based Cost Function

Abstract: In the three-level neutral point clamped (NPC) inverter-fed PMSM drive, the modulated model predictive control (M2PC) possesses the advantages of fixed switching frequency, lower torque ...
Scientific Research Publishing

Sarra, S.A. and Kansa, E.J. (2009) Multiquadric Radial Basis Function Approximation Methods for the Numerical Solution of Partial Differential Equations. Computational ...

ABSTRACT: We solve numerically an eigenvalue elliptic partial differential equation (PDE) ranging from two to six dimensions using the generalized multiquadric (GMQ) radial basis functions (RBFs). Two ...
Hacker

Partial Morphisms and Their Impact on Monograph Theory

Graph structures have been characterized in [3] as the signatures that allow the transformation of the corresponding algebras by the single pushout method. This method is based on the construction of ...
ophthalmologytimes

Life Biosciences reports advances in nonhuman primate studies on partial epigenetic reprogramming for restoring visual function

ER-100 gene therapy uses partial epigenetic reprogramming with transcription factors Oct-4, Sox-2, and Klf-4. Intravitreal injection of ER-100, combined with doxycycline, improved visual function in ...
San Francisco Fed

Explaining Machine Learning by Bootstrapping Partial Dependence Functions and Shapley Values

Machine learning and artificial intelligence methods are often referred to as “black boxes” when compared with traditional regression-based approaches. However, both traditional and machine learning ...