Machine Learning: Definition, Development History, and Algorithm Classification

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Machine Learning: Definition, Development History, and Algorithm Classification

1. Definition Machine learning is a multidisciplinary field that encompasses knowledge of probability theory, statistics, approximation theory, and complex algorithms. It uses computers as tools to simulate human learning in real-time and aims to effectively improve learning efficiency by structuring existing knowledge. There are several definitions of machine learning: (1) Machine learning is a science … Read more

Understanding Machine Learning: Concepts, Schools, and Algorithms

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Understanding Machine Learning: Concepts, Schools, and Algorithms

Source: Machine Learning Grocery Store Deep Learning Go This article is about 3500 words, and it is recommended to read it in 7 minutes. This article introduces the basic concepts, schools, and common algorithms of machine learning. 1. Overview of Machine Learning 1. What is Machine Learning? Machines learn by analyzing large amounts of data. … Read more

Illustration of 72 Basic Machine Learning Concepts

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Illustration of 72 Basic Machine Learning Concepts

1. Overview of Machine Learning 1) What is Machine Learning Artificial Intelligence (Artificial intelligence) is a new technical science that studies and develops theories, methods, technologies, and application systems to simulate, extend, and enhance human intelligence. It is a broad and vague concept, and the ultimate goal of artificial intelligence is to enable computers to … Read more

From Text Matching to Semantic Relevance

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From Text Matching to Semantic Relevance

Introduction Text similarity is a fundamental task in the industrialization of NLP. Many applications require calculating the degree of similarity between two texts, including deduplication of similar texts in text retrieval, matching queries with standard template questions in question-answering systems, and semantic judgment of sentence pairs. This task can be categorized based on different criteria: … Read more

Understanding Embedding in Language Models

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Understanding Embedding in Language Models

Original: https://zhuanlan.zhihu.com/p/643560252 Like most people, my understanding of natural language processing and language models began with ChatGPT. Like most people, I was shocked by ChatGPT’s capabilities upon first contact — silicon-based intelligence has indeed achieved understanding human language. I also had the almost universal question: how is this achieved? Does the potential of silicon-based intelligence … Read more

Understanding the Technological Foundation of AI: Vector Databases

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Understanding the Technological Foundation of AI: Vector Databases

Written by丨Mony Researcher at Tencent Interactive Entertainment // Introduction As we know, we are deeply caught in the whirlpool of an artificial intelligence (AI) revolution. No matter which industry AI intervenes in, it brings revolutionary hopes and possibilities, while also triggering brand new challenges. For applications including large language models, generative AI, and semantic search, … Read more

5-Minute NLP Series: Word2Vec and Doc2Vec

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5-Minute NLP Series: Word2Vec and Doc2Vec

Source: Deephub Imba This article is approximately 800 words long and is recommended to be read in 5 minutes. This article mainly introduces <strong>Word2Vec</strong> and <strong>Doc2Vec</strong>. Doc2Vec is an unsupervised algorithm that learns embeddings from variable-length text segments (such as sentences, paragraphs, and documents). It first appeared in the paper Distributed Representations of Sentences and … Read more

Overview of Human Language Understanding and Reasoning

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Overview of Human Language Understanding and Reasoning

Christopher Manning Currently a professor at Stanford University and head of the Stanford Natural Language Processing Group, Christopher Manning is a renowned scholar in the field of natural language processing. He is a fellow of prestigious international academic organizations such as the ACM, AAAI, and ACL, and has won best paper awards at top international … Read more

Performance Comparison of Text Embedding Techniques: GPT-3, BERT, GloVe, and Word2Vec

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Performance Comparison of Text Embedding Techniques: GPT-3, BERT, GloVe, and Word2Vec

Source: DeepHub IMBA This article is about 3000 words long and is recommended to read in 6 minutes. With the latest advancements in NLP (Natural Language Processing), OpenAI's GPT-3 has become one of the most powerful language models on the market. On January 25, 2022, OpenAI announced an embedding endpoint (Neelakantan et al., 2022). This … Read more

Emotional Bias of Users in Information Bubbles on Social Networks

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Emotional Bias of Users in Information Bubbles on Social Networks

The original text was published in the “Emotions and Communication” column of the Global Communication Journal, 2022, Issue 4. Authors Xu Xiang: Professor at the School of Arts and Communication, Tongji University. Dong Jieyun: Undergraduate student at the School of Arts and Communication, Tongji University. Abstract [Abstract] This paper takes Sina Weibo users (N=2143) as … Read more