Click on "Xiaobai Learns Vision" above, select "Star" or "Pin" Heavy content delivered immediately Editor’s Recommendation A simple summary is whether it is supervised (supervised) or not, which depends on whether the input data has labels (label). If the input data has labels, it is supervised learning; if there are no labels, it is unsupervised … Read more
Machine learning can be 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), where the training data is usually in … Read more
Machine learning is divided into two main categories based on model type: supervised learning models and unsupervised learning models: 1. Supervised Learning Supervised learning typically utilizes training data with expert-labeled tags to learn a function mapping from input variable X to output variable Y. Y = f(X), where training data is usually in the form … Read more
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
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
The k-means algorithm is one of the most commonly used methods for unsupervised clustering due to its simplicity and good applicability to large sample data. This article provides a detailed summary of the principles of the k-means clustering algorithm. Table of Contents 1. Principles of k-means Clustering Algorithm 2. Steps of k-means Clustering Algorithm 3. … Read more
（Cover and body images are from the internet） Machine learning may be a “familiar yet strange term”. You often hear people mention it, but its specific meaning is not very clear. When we talk about machine learning, what are we actually discussing? This article will organize the discussion from four aspects: / What is Machine … Read more
Source: DeepHub IMBA This article is about 2300 words long and is recommended for an 8-minute read. This article introduces the types of machine learning. Machine Learning Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning can … 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
This article is reproduced from the public account sigua’s inner voice, a frontline small developer in the mathematics department, updating original articles on data structures and algorithms | deep learning | workplace technologies.This public account is followed by Google TensorFlow programmers, Apple company programmers, Microsoft programmers, a contestant from the ultimate quiz show, CTOs of … Read more