Core Points:A comprehensive summary of machine learning concepts, highly recommended for collection! Hi, I am Cos Dazhuang! Machine learning is divided into two main categories based on model types: supervised learning models and unsupervised learning models. 1. Supervised Learning Supervised learning typically uses training data with expert-labeled tags to learn a function mapping from input … Read more
Source: Internet Introduction For almost all machine learning algorithms, whether supervised learning, unsupervised learning, or reinforcement learning, the ultimate goal generally boils down to solving optimization problems. Therefore, optimization methods play a central role in the derivation and implementation of machine learning algorithms. In this article, the author will provide a comprehensive summary of the … Read more
Machine learning is divided into two main categories based on model types: supervised learning models and unsupervised learning models. 1. Supervised Learning Supervised learning typically uses training data with expert-labeled tags to learn a function mapping from input variable X to output variable Y. Y = f(X), and the training data is usually in the … Read more
Welcome to the special winter vacation premium column “High-Tech Lessons for Kids” launched by Science Popularization China! As one of the most cutting-edge technologies today, artificial intelligence is changing our lives at an astonishing pace. From smart voice assistants to self-driving cars, from AI painting to machine learning, it opens a future full of infinite … Read more
As we all know, artificial intelligence is one of the hottest topics today, and the rapid development of computer and internet technologies has pushed research in artificial intelligence to a new climax. Artificial intelligence is an emerging technological science that studies the theories, methods, and applications of simulating and extending human intelligence. Machine learning, as … Read more
Originally from Data Department THU Source CloudB Computational Thinking and Aesthetics "How can 'humans' do what they are good at, while leaving the rest to machines. [ Introduction ] Since the 1980s, machine learning has led the development trend of artificial intelligence, shifting the contribution of artificial intelligence from human-given intelligence to machine-learned intelligence. Undoubtedly, … Read more
Introduction Text analysis has traditionally been dominated by qualitative methods, with the two most common being interpretive close reading and systematic qualitative coding. Both are limited by human reading speed, making them unsuitable for analyzing extremely large corpora. Currently, two popular quantitative text analysis methods are semantic network analysis and topic modeling. While both make … Read more
Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! From | Zhihu Address | https://zhuanlan.zhihu.com/p/270210535 Author | Pan Xiaoxiao Editor | Machine Learning Algorithms and Natural Language Processing WeChat public account This article is for academic sharing only. If there is any infringement, please contact us to delete the … Read more
Application of Large-Scale Pre-trained Models in Quantitative Investment (Part 1) Research Unit: Taiping Asset Management Co., Ltd. Project Leader: Wang Zhenzhou Project Team Members: Wang Teng, Yi Chao, Zuo Wenting, Hu Qiang, Yu Hui Abstract: This project deeply explores the application of large-scale pre-trained models in the field of quantitative investment, mainly addressing several key … Read more
Language Life Research Guest of This Issue Yuan Yulin Professor at the University of Macau, with main research interests in theoretical linguistics and Chinese linguistics. Thinking About Language Design Principles and Operational Mechanisms Under Human Habitat Constraints Yuan Yulin (University of Macau, Department of Chinese Language and Literature, Macau 999078; Peking University, Department of Chinese/Center … Read more