How-To Geek on MSN

How I Built My Own Wolfram Mathematica-like Engine With Python

As with statsmodels, Matplotlib does have a learning curve. There are two major interfaces, a low-level "axes" method and a ...
Deep Learning with Yacine 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, ...
InfoWorld

7 newer data science tools you should be using with Python

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
Tech Xplore

A roadmap for next-generation 2D semiconductor 'gate stack' technology

Seoul National University's College of Engineering announced that a research team led by Professor Chul-Ho Lee from the ...
IEEE

Two-Dimensional Off-Grid Beamforming Acoustic Source Identification for Planar Microphone Arrays via Unfolding Delay-and-Sum

Abstract: The classical sparsity-based source identification method encounters the basis mismatch problem due to discretizing the focus region and assuming that acoustic sources are on-grid. This ...
IEEE

Efficient 2-D DOA Estimation for Incoherently Distributed Sources With an L-Shaped Array

Abstract: Direction-of-arrival (DOA) estimation with sufficient accuracy and efficiency for incoherently distributed (ID) sources remains a challenging problem. To this end, a computationally ...
Analytics Insight

NumPy vs. PyTorch: What’s Best for Your Numerical Computation Needs?

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...