Source: DeepHub IMBA This article is about 1700 words, and it is recommended to read for 7minutes. This article compares KNN with simple linear regression. Generally, k-Nearest Neighbor (KNN) is used to solve classification problems; in fact, KNN is a simple algorithm that can be applied to both data classification and prediction. In this article, … Read more
Machine learning is a hot topic, but apart from the teachers who know it well, very few people can explain what it’s all about. If you read articles about machine learning online, you’re likely to encounter one of two situations: either a heavy academic trilogy filled with various theorems (I struggle to grasp even half … 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), where training data is usually in the form … 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
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
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
Machine learning is a topic everyone is talking about, but apart from those who are well-versed in it, very few can explain what it’s all about. If you read articles about machine learning online, you’re likely to encounter two scenarios: dense academic treatises filled with various theorems (I struggle to grasp half a theorem), or … Read more
Both linear models and decision trees are important types of machine learning.We have spent a lot of time learning linear regression; do you feel like you have opened the door to machine learning?Next, we continue to explore machine learning, from understanding to application. 1. The Role of Prediction and Classification in Machine Learning The purpose … Read more
About 10,000 words, recommended reading time 20 minutes. This article introduces the models of machine learning. Machine learning is the process of allowing computers to automatically extract rules and patterns from data, thereby completing specific tasks. According to model types, machine learning is mainly divided into three categories: supervised learning models, semi-supervised learning, and unsupervised … Read more
Follow our WeChat public account “ML_NLP“ Set as “Starred“, important content delivered first-hand! Produced by Big Data Digest Compiled by: Hong Yingfei, Ning Jing PyTorch is one of the deep learning framework libraries, an open-source deep learning platform from Facebook, providing seamless connection from research prototype to production deployment. This article aims to introduce the … Read more