Summary of Dimensionality Reduction Algorithms in Machine Learning

Summary of Dimensionality Reduction Algorithms in Machine Learning

Source: Algorithm Advancement This article is about 7500 words long and is recommended for a 10-minute read. It provides an information table of seven algorithms, summarizing the parameters and main objectives of each algorithm, and introduces some basic concepts of dimensionality reduction. Recently, I have been looking into some dimensionality reduction algorithms. This article first … Read more

Principles, Process, and Applications of Image Recognition

Principles, Process, and Applications of Image Recognition

Source | Global Artificial Intelligence (ID:aicapital) Image recognition technology is an important technology in the information age, aimed at allowing computers to replace humans in processing large amounts of physical information. With the development of computer technology, human understanding of image recognition technology has deepened. The process of image recognition technology is divided into information … Read more

Understanding Word2Vec Through Visuals

Understanding Word2Vec Through Visuals

Reference Article: https://www.jianshu.com/p/471d9bfbd72f Before understanding word2vec, we first need to grasp what One-Hot encoding is, as this simple encoding method is quite useful for handling enumerable features. Encoding One-Hot encoding, also known as single valid encoding, uses an N-bit state register to encode N states, where each state has its own independent register bit, and … Read more

Analysis of PCA and Its Application in Image Recognition

Analysis of PCA and Its Application in Image Recognition

Principal Component Analysis (PCA) is a “frequent visitor” in the field of data analysis, much like Zhuge Liang from the Three Kingdoms period, who always skillfully arranges troops on the “battlefield” of data, simplifying complexity. Its core idea is to project the original data onto a new coordinate system through linear transformation, maximizing the variance … Read more