Comprehensive Summary of 14 Anomaly Detection Methods

Comprehensive Summary of 14 Anomaly Detection Methods

This article collects and organizes some common anomaly detection methods available on the public internet (with sources and code). Any shortcomings are welcome to be criticized and corrected. 1. Distribution-Based Methods 1. 3sigma Based on the normal distribution, the 3sigma criterion considers data points exceeding 3 sigma to be outliers. Figure 1: 3sigma def three_sigma(s): … Read more

Differences Between Statistics and Machine Learning

Differences Between Statistics and Machine Learning

Source: Not Just Data Analysis This article is about 5800 words long, and it is recommended to read for over 10 minutes. Without statistics, machine learning cannot exist, but due to the contemporary information explosion and the vast amount of data humans can access, machine learning is extremely useful. The distinction between statistics and machine … Read more

Machine Learning Prediction Models and Interpretability Training Based on R’s MLR3 Framework

Machine Learning Prediction Models and Interpretability Training Based on R's MLR3 Framework

Overview of MLR3 MLR3 Framework mlr3 is an object-oriented, extensible machine learning framework focused on regression, classification, survival analysis, and other machine learning tasks. It is the successor to mlr, providing efficient model building and comparison for machine learning. Some key features of mlr3 include: Object-Oriented Design: Implements a clean object-oriented design using R6. Optimized … Read more

Comprehensive Summary of Machine Learning Regression Models

Comprehensive Summary of Machine Learning Regression Models

Click on the above “Beginner Learning Vision”, and select to add a “Star Mark” or “Top” Heavyweight content delivered promptly 【Guide】Hello everyone, I am Yongyu. A coder who enjoys exploring and sharing AI knowledge! Regression analysis provides a solid foundation for many machine learning algorithms.In this article, we will introduce the concept of regression analysis, … Read more

What Is the Difference Between Statistics and Machine Learning?

What Is the Difference Between Statistics and Machine Learning?

Madio.net Mathematics China /// Editor: Yu Dizongxuan This article is reprinted from the Mathematics Algorithm Club The distinction between statistics and machine learning has always been vague.Both in industry and academia, it has been widely believed that machine learning is just a shiny facade over statistics.Moreover, artificial intelligence, supported by machine learning, is also referred … Read more

Differences Between Deep Learning and Classical Statistics Explained by Harvard Professor

Differences Between Deep Learning and Classical Statistics Explained by Harvard Professor

Source: Pythonic Biologists This article is about 7000 words, and it is recommended to read for 10+minutes. Is deep learning the same as classical statistics? Is deep learning the same as classical statistics? Many people may have this question, as there are many similar terms between the two. In this article, theoretical computer scientist and … Read more