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 ...
TechAnnouncer

Mastering LeetCode: Comprehensive Python Solutions and Strategies

Python’s clean syntax makes recursive functions easier to write and read. However, you need to be mindful of the recursion ...
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 ...

New 2D memory chip could extend Moore's Law into the atomic era

Researchers at Fudan University in Shanghai have developed the world's first fully functional memory chip made entirely from two-dimensional materials. The achievement, published in Nature, ...
IEEE

Modeling and Mitigation of Time Delay Error for Non-Timed Arrays in Satellite Communications

Abstract: A hybrid electromagnetics and communications model is proposed to quantify the performance degradation of non-timed array antennas (e.g. phased arrays or reflectarray antennas) from time ...
IEEE

Dual-Band 28- and 39-GHz Phased Arrays for Multistandard 5G Applications

Abstract: This article presents a 32-element 28/39-GHz dual-band phased array for fifth-generation (5G) communication systems. The array is based on separate sets of SiGe transmit/ receive (Tx/Rx) ...
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 ...