Vol.1 What is Machine Learning Machine Learning (ML) is the core of artificial intelligence, involving many fields such as statistics, system identification, approximation theory, neural networks, optimization theory, computer science, and brain science. It studies how computers can simulate or implement human learning behaviors to acquire new knowledge or skills, reorganizing existing knowledge structures to … Read more
When it comes to the popular terms of recent years, “Artificial Intelligence” must be on the list. Following the explosive popularity of ChatGPT last year, “AI (Artificial Intelligence)” has repeatedly topped the trending search lists and has been named the Word of the Year 2023 by Collins, a British dictionary publisher. In addition to “Artificial … Read more
Today, instead of sharing a paper, let’s discuss some classic algorithms in machine learning. Despite the current buzz in the capital market around embodied intelligence and large models, it is undeniable that we are still in the stage of weak artificial intelligence. Strong artificial intelligence, of course, is a vision and goal for the future … Read more
Source: Intelligent Accounting Alliance This article is approximately 2200 words long and is recommended for a reading time of 9 minutes. This article will guide you through five aspects of getting started with machine learning: What is machine learning? What is the workflow? What machine learning algorithms are available? Model evaluation learning, and Azure machine … Read more
Source: Machine Learning Grocery Store Deep Learning Go This article is about 3500 words, and it is recommended to read it in 7 minutes. This article introduces the basic concepts, schools, and common algorithms of machine learning. 1. Overview of Machine Learning 1. What is Machine Learning? Machines learn by analyzing large amounts of data. … Read more
1. Overview of Machine Learning 1) What is Machine Learning Artificial Intelligence (Artificial intelligence) is a new technical science that studies and develops theories, methods, technologies, and application systems to simulate, extend, and enhance human intelligence. It is a broad and vague concept, and the ultimate goal of artificial intelligence is to enable computers to … Read more
On April 26, after the conclusion of the ninth meeting of the 14th National People’s Congress Standing Committee, a special lecture was held, where Academician of the Chinese Academy of Engineering and researcher at the Institute of Computing Technology of the Chinese Academy of Sciences, Sun Ninghui, delivered a lecture titled “The Development of Artificial … Read more
Seeing Through the Eyes of Machines The method of observing the surrounding environment through machines such as computers or mobile phones is called computer vision. The rigorous work of simulating the human eye dates back to the 1950s, and we have come a long way in this field. Computer vision has entered our smartphones through … Read more
Introduction The most common application of the Hessian matrix is in the Newton optimization method, which mainly seeks the extremum points of a function where the first derivative is zero. This article provides a straightforward summary of the two applications of the Hessian matrix in the XGBoost algorithm, namely the minimum child weight algorithm and … Read more
Every algorithm has its applicable range, and understanding its pros and cons can help avoid errors caused by inappropriate use. This article summarizes the pros and cons of common machine learning algorithms for reference. The sources are from “Machine Learning: Using R, Tidyverse, and mlr” (Algorithms 1 to 17) and “Neural Networks: Implementation in R” … Read more