Depending on the type of data, there are different ways to model a problem. In the field of machine learning or artificial intelligence, people will first consider the learning method of the algorithm. There are several main learning methods in machine learning. Classifying algorithms by learning method is a good idea, as it allows people … Read more
About 10,000 words, recommended reading time 20 minutes. This article introduces the models of machine learning. Machine learning is the process of allowing computers to automatically extract rules and patterns from data, thereby completing specific tasks. According to model types, machine learning is mainly divided into three categories: supervised learning models, semi-supervised learning, and unsupervised … Read more
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
Reference Information (Click Title to Read Full Text) Huang Dongmei, Wang Yifan, Hu Anduo, et al. Detection method of false data injection attack based on unsupervised and supervised learning[J]. Electric Power Engineering Technology, 2024, 43(2):134-141. HUANG Dongmei, WANG Yifan, HU Anduo, et al. Detection method of false data injection attack based on unsupervised and supervised … Read more
Selected from StatsBot Author: Anton Karazeev Translated by Machine Heart Contributors: Qianshu, Huang Xiaotian This article is reproduced with permission from “Machine Heart” Reproduction prohibited Generative Adversarial Networks (GANs) are a class of neural networks used in unsupervised learning, which help to solve tasks such as generating images from text, improving image resolution, drug matching, … Read more
Source: Turing Artificial Intelligence Depending on the type of data, modeling a problem can be approached in different ways. In the field of machine learning or artificial intelligence, people first consider the learning method of the algorithm. There are several main learning methods in machine learning. Categorizing algorithms according to their learning methods is a … Read more
The learning of artificial neural networks mainly refers to the use of learning algorithms to adjust the connection weights between neurons, so that the network output better matches reality. Learning algorithms are divided into supervised learning and unsupervised learning. Supervised learning, also known as teacher-based learning, is a learning method where a set of training … Read more
Source ： Turing Artificial Intelligence According to the different types of data, modeling a problem can be done in various ways. In the field of machine learning or artificial intelligence, the learning method of the algorithm is usually the first consideration. There are several main learning methods in machine learning. Classifying algorithms by learning methods … Read more
Author: Zhang Jianzhong Source: http://blog.csdn.net/zouxy09/article/details/8775518 Deep learning is a new field in the study of machine learning, motivated by the establishment and simulation of neural networks that analyze and learn like the human brain. It mimics the mechanisms of the human brain to interpret data such as images, sounds, and text. Deep learning is a … Read more
Selected from arXiv Authors: Guillaume Lample et al. Translation by Machine Heart Contributors: Zhang Qian, Lu Recently, researchers from FAIR proposed two variants of machine translation models, one being a neural model and the other based on phrases. The researchers combined two recently proposed unsupervised methods, simplifying the structure and loss functions, resulting in a … Read more