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
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
This is the664th original article. Your attention is the greatest encouragement for us! Keywords: fairness, bias, debiasing learning, image recognition, deep learning Algorithmic fairness is one of the important themes in the benevolent development of artificial intelligence and a key component of trustworthy AI. Establishing reasonable models to ensure unbiased algorithmic decision-making is a necessary … Read more
1. Overview of Machine Learning 1) What is Machine Learning Artificial Intelligence (Artificial intelligence) is a new scientific discipline that studies and develops theories, methods, technologies, and application systems to simulate, extend, and enhance human intelligence. It is a broad and general concept, and the ultimate goal of artificial intelligence is to enable computers to … Read more
The Definition of AIGC Content as “Works” The Definition of AIGC Content “Authors” – Mainstream AIGC User Agreements The Definition of AIGC Content “Authors” – Judicial and Other Realistic Attitudes Should the “Ideas” of Computer Programs Be Protected? Protection Against Unfair Competition for Algorithms Designing Protection Paths for AIGC Algorithms Legitimate Authorization of Training Data … Read more
Hello, friends! This is the Information Engineering College Knowledge Lecture, and it’s our first meeting with you. Without further ado, let’s dive straight into the segment where we bring you some computer knowledge! This week’s “Weekly Lesson” is presented by Sun Rongyue from the 2021 Class of Computer Science and Technology 2. He will explain … 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