Comparison Summary of 10 Nonlinear Dimensionality Reduction Techniques in Machine Learning

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Comparison Summary of 10 Nonlinear Dimensionality Reduction Techniques in Machine Learning

Approximately 3800 words, recommended reading time 6 minutes. This article introduces 10 nonlinear dimensionality reduction techniques in machine learning. Dimensionality reduction means reducing the number of features in a dataset without losing too much information. Dimensionality reduction algorithms fall under the category of unsupervised learning, training algorithms with unlabeled data. Although there are many types … Read more

Top 10 Clustering Algorithms in Machine Learning (Python)

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Top 10 Clustering Algorithms in Machine Learning (Python)

Source: You Er's Cabin – New Machine Vision This article is about 7000 words long and is recommended to read in 14 minutes. This article shares a piece about clustering: 10 clustering algorithms and their Python code. Clustering or cluster analysis is an unsupervised learning problem. It is commonly used as a data analysis technique … Read more

An Overview of Linear Regression in Machine Learning

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An Overview of Linear Regression in Machine Learning

1. Introduction to Linear Regression 1.1 Origin of Regression Francis Galton, a British biologist, studied the relationship between the heights of parents and their children. He concluded that if parents are taller than the average height of the population, their children tend to be shorter than their parents, moving closer to the average height of … Read more

Training High-Quality Catalog Item Embeddings with Triplet Loss and Siamese Neural Networks

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Training High-Quality Catalog Item Embeddings with Triplet Loss and Siamese Neural Networks

Source: Deephub Imba This article is about 4500 words long and is recommended for a 5-minute read. This article describes a method for training high-quality, transferable embeddings using self-supervised learning techniques on user search data from within the website. The number of categories in large websites is vast, and manual tagging is generally unfeasible. Therefore, … Read more

Human-Machine Translation: Twinslator Platform Features and Operations

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Human-Machine Translation: Twinslator Platform Features and Operations

Human-Machine Translation: Operation Methods of Twinslator Platform Features 1. Tool Introduction Twinslator is short for “Twins Translator”; in Chinese, it translates to “Twin Translators”. At the first Transcendence Conference in 2018, He Enpei, the president of Transcendence Language Internet Technology Co., Ltd., proposed: “The good model of human-machine translation is to let AI grow alongside … Read more

What Is NLP? Unveiling the Mysteries of NLP!

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What Is NLP? Unveiling the Mysteries of NLP!

What is NLP? NLP is directly translated as “Neuro-Linguistic Programming”. This academically strong name often leaves a difficult, rigid, profound, and hard-to-understand impression. In fact, NLP is a very vivid, lively, interesting, and practical application of psychology, so it is also translated as “Mind-Body Language Programming”. NLP is a discipline about “people”; it studies human … Read more

Education Knowledge Graph Under AI + Perspective

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Education Knowledge Graph Under AI + Perspective

The development of new generation artificial intelligence technologies such as deep learning, knowledge graphs, and reinforcement learning is driving “Internet + Education” into a new era of “smart education”. As a core driving force for the development of artificial intelligence, knowledge graphs provide new empowering capabilities for education in the era of informationization 2.0. From … Read more

Supporting the Development of Medical AI: Analysis of ‘Hui Zhi’ Medical Knowledge Graph Application Examples

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Supporting the Development of Medical AI: Analysis of 'Hui Zhi' Medical Knowledge Graph Application Examples

With the advancement of technology and the gradual maturity of the market, the application of artificial intelligence in fields such as healthcare is becoming increasingly widespread and in-depth. Knowledge graph technology, as a means of extracting structured knowledge from massive texts and images, is becoming one of the core driving forces behind the development of … Read more

Detailed Explanation of Course Knowledge Graph Construction and Application

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Detailed Explanation of Course Knowledge Graph Construction and Application

1. What is a Knowledge Graph A Knowledge Graph, also known as knowledge domain visualization or knowledge domain mapping, is a series of different graphics that display the development process and structural relationships of knowledge. It describes knowledge resources and their carriers using visualization technology, mining, analyzing, constructing, drawing, and displaying knowledge and their interconnections. … Read more