Deep Learning with Yacine on MSN

Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Speaker series features expert on eliminating invasive Burmese pythons

The Center for the Rehabilitation of Wildlife on Sanibel kicks off its annual speaker series with a python elimination expert ...
GitHub

matpower-pip: A Python Package for Easy Access to MATPOWER Power System Simulation Package

This package is intended to make MATPOWER installable from PyPI. We did not change anything from MATPOWER package, instead, we used a copy of MATPOWER (currently Version 8.1) and wrapped it as python ...
IEEE

Machine Learning on the Fly: A Hands-On Tutorial for Streaming Data

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...
IEEE

IEEE Communications Surveys and Tutorials

Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...
GitHub

pyQBTNs - Python Quantum Boolean Tensor Networks

pyQBTNs is a Python library for boolean matrix and tensor factorization using D-Wave quantum annealers. The library includes five different boolean tensor decomposition methods making up three ...