Click on the “MLNLP” above to select the “Starred” public account Heavyweight content delivered first-hand Authors: Wu Yang, Hu Xiaoyu, Lin Zijie from Harbin Institute of Technology SCIR Introduction With the rapid development of social networks, the ways people express themselves on platforms have become increasingly rich, such as expressing their emotions and opinions through … Read more
Author: Wu Xiaoyi Column Author of Python Enthusiasts Community Personal Blog: Wu Xiaoyi Zhihu Profile: Wu Xiaoyi丶 WeChat Official Account: Data Road (shuju_lu) Code and Data Acquisition Method: Follow the WeChat Official Account “Python Enthusiasts Community” and reply:Practical Mining This article is the practical part of the book “Python Data Analysis and Mining Practical”,整理分析后的复现. This … Read more
Author: Wei Wei Source:Python Enthusiasts Community This article contains a total of 7800 words, and it is recommended to read for 10+ minutes. This article combines code examples to help you get started with Python data mining and machine learning techniques. This article includes five knowledge points: 1. Introduction to data mining and machine learning … Read more
Celebrating the 73rd Anniversary of the Founding of the People’s Republic of China When you search for information, read the news, scroll through short videos, or shop, every piece of content that touches you may be influenced by the role of the knowledge graph. What Is a Knowledge Graph A knowledge graph is a graph-based … Read more
This article is about 11,000 words long and is recommended to be read in over 10 minutes. This is a survey overview of large models for time series and spatio-temporal data. Time-related data, especially time series and spatio-temporal data, are ubiquitous in real-world applications. These data capture measurements of dynamic systems and are generated in … Read more
Background: The internationally recognized academic organization the IEEE International Conference on Data Mining (ICDM) selected the top ten classic algorithms in the field of data mining in December 2006:C4.5、k-Means、SVM、Apriori、EM、PageRank、AdaBoost、kNN、Naive Bayes and CART。 Not only are the selected ten algorithms classic, but actually any of the 18 algorithms that participated in the selection can also be … Read more
1 Introduction K-means and kNN may both start with ‘k’, but they are two different types of algorithms—kNN is a classification algorithm in supervised learning, while k-means is a clustering algorithm in unsupervised learning. The similarity between the two is that both utilize neighbor information to label categories. Clustering is a very important learning paradigm … Read more
In the past few years, based on my work experience and exchanges with other data scientists, including content read online, I have compiled what I consider to be the most important machine learning algorithms. This year, I want to provide more models across categories based on the article published last year. I hope to offer … Read more
Machine Learning is the study of how computers can simulate or mimic human learning behavior to acquire new knowledge or skills, reorganizing existing knowledge structures to continuously improve their performance. It is the core of artificial intelligence and the fundamental way to make computers intelligent, with applications across various fields of artificial intelligence, primarily using … Read more
Click the above “Language Services” to subscribe. Language Data Mining and Python Programming | Course Name | Language Data Mining and Python Programming | Course Introduction | Python is a high-level programming language with a simple and easy-to-learn syntax structure. It emphasizes code readability and clarity, making it an ideal choice for beginners to start … Read more