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
Author: Wang Jiaxin Reviewed by: Chen Zhiyan This article is about 5800 words and is recommended to read for more than 10 minutes. This article introduces the classic K-Means clustering algorithm. Overview As is well known, machine learning algorithms can be divided into supervised learning and unsupervised learning. Supervised learning is often used for classification … Read more
The KNN algorithm is one of the most basic instance-based learning methods. First, we will introduce the relevant concepts of instance-based learning. 1. Instance-Based Learning 1. Given a series of training samples, many learning methods establish a clear generalization description for the objective function; however, instance-based learning methods simply store the training samples. The work … Read more
Click on the above“Beginner’s Visual Learning” to selectStar or “Top” Important content delivered promptly Machine learning is one of the most exciting and popular fields in computer science today. It is not just about technology, but about applying advanced algorithms to solve real-world problems. This article will introduce artificial intelligence (AI) and machine learning, using … Read more
Machine learning has been proven to be very useful, but it is also easy to assume that it can solve all problems and is applicable in all situations. Like other tools, machine learning is useful in specific domains, especially those problems you always know exist but can never hire enough people to solve; or those … 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