1. Logistic Regression The binary logistic regression model is a classification model represented by the conditional probability distributionP(Y|X), with the form of a parameterized logistic distribution. Here, the random variable X takes real values, and the random variable Y takes values of 1 or 0. The model parameters can be estimated using a supervised method. … Read more
1. What is Machine Learning 1. Meaning Machine learning, is a branch of artificial intelligence that specifically studies how computers can simulate or realize human learning behavior. It trains models through various algorithms and uses these models to recognize and predict new problems. Essentially, machine learning is a way of extracting patterns from data or … Read more
Source: dataxon Translator: Ahong Everyone is talking about machine learning, but very few people can explain what it really is, apart from the teachers who know it inside out. If you read articles about machine learning online, you are likely to encounter two scenarios: heavy academic tracts filled with various theorems (I struggle to grasp … Read more
Introduction With the development of artificial intelligence technology, machine learning has become a core component of the data science field. The flow of data within the framework of machine learning methods goes through three processes in sequence, corresponding to the three essential elements of machine learning: 1. Model; 2. Strategy; 3. Algorithm. This article will … Read more
Reprinted from Algorithms and the Beauty of Mathematics 1. Supervised Learning: In supervised learning, the input data is referred to as “training data”, and each set of training data has a clear label or result, such as “spam” or “non-spam” in a spam detection system, or the digits “1”, “2”, “3”, “4”, etc. in handwritten … Read more
Source: Author: james_aka_yale Hello everyone, I am Xiao Z. In the field of machine learning, there is a saying that “there is no free lunch in the world”, which simply means that there is no single algorithm that performs best on every problem. This theory is particularly important in supervised learning. For example, you cannot … Read more
Learn Excel techniques, follow the WeChat public account: excelperfect Tags:Machine Learning,Python This article will discuss several key concepts of machine learning in a beginner-friendly manner, hoping to give you a basic understanding of machine learning without delving into technical details. What is Machine Learning (ML) Traditional software consists of explicit instructions and rules written by … Read more
Machine learning is a hot topic, but aside from the experts, very few people can explain it clearly. If you read articles about machine learning online, you are likely to encounter two situations: heavy academic works filled with various theorems (I can barely handle half a theorem), or dazzling stories about artificial intelligence, data science … Read more
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
Machine Learning Definition: The process by which computers acquire knowledge through automatic analysis and synthesis of data, facts, or their own experiences. Discipline: Computer Science Technology _ Artificial Intelligence _ Machine Learning Related Terms: Artificial Intelligence, Big Data, Pattern Recognition, Deep Learning Image Source: Visual China [Further Reading] Machine learning is a branch of artificial … Read more