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, ...
GitHub

Improving 2D Feature Representations by 3D-Aware Fine-Tuning

This is the official repository for the paper Improving 2D Feature Representations by 3D-Aware Fine-Tuning. The code has been tested on Linux with Python 3.10.14 ...
IEEE

Toward Highly Secure Yet Efficient KNN Classification Scheme on Outsourced Cloud Data

Abstract: Nowadays, outsourcing data and machine learning tasks, e.g., $k$ -nearest neighbor (KNN) classification, to clouds has become a scalable and cost-effective ...
IEEE

Efficientnet-Lite and Hybrid CNN-KNN Implementation for Facial Expression Recognition on ...

Abstract: Facial expression recognition (FER) is the task of determining a person’s current emotion. It plays an important role in healthcare, marketing, and counselling. With the advancement in deep ...
腾讯网

机器学习构建风险预测模型的统计学套路

机器学习构建风险预测模型的统计学套路是一个系统性流程，涵盖数据准备、模型构建、评估优化等多个环节，需结合机器学习算法特性与统计学原理，确保模型的可靠性和实用性。以下从核心步骤展开详细讲解： ①校准曲线：比较预测风险与实际发生率的一致性，通过 ...