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, ...
IEEE

Implementation of FPGA-based Neural Network Controller for Reducing Speed Ripple for a PMSM-driven EV using MRAS Speed Estimator

Abstract: The conventional model reference adaptive system (MRAS) employs a proportional-integral (PI) controller with a low-pass filter (LPF). However, the LPF and integrator add phase delay and DC ...
IEEE

Optimizing K-Nearest Neighbor Values Using The Elbow Method

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...