Artificial Intelligence Machine Learning Deep Learning Introduction For beginners, it can be difficult to distinguish between artificial intelligence (AI), machine learning (ML), and deep learning (DL) when first encountering them, as well as to understand their connections, concepts, and what they can do. 1 Concepts and Definitions In simple terms, artificial intelligence is about making … Read more
Source | Zhihu: Deep Blue Academy Artificial intelligence is becoming increasingly popular today, with many terms constantly surrounding us: artificial intelligence, machine learning, deep learning, etc. Many people have a vague understanding of the meanings of these high-frequency terms and their relationships. To help everyone better understand artificial intelligence, this article explains these terms in … Read more
In the past few years, based on my work experience and communication with other data scientists, including content read online, I have compiled what I consider to be the most important machine learning algorithms. This year, I want to provide more models across categories based on last year’s article. I hope to offer a treasure … Read more
Introduction For almost all machine learning algorithms, whether supervised learning, unsupervised learning, or reinforcement learning, they ultimately boil down to solving optimization problems. Therefore, optimization methods play a central role in the derivation and implementation of machine learning algorithms. In this article, I will provide a comprehensive summary of the optimization algorithms used in machine … Read more
◎ Tech Daily Reporter Zhang Mengran Can machines learn, but can they forget? A friend said, “If you unplug the power without saving, won’t it forget!” The issue is not that simple. Learning to Forget: A Major Challenge for AI The purpose of machine learning is to use computers as tools to simulate human learning … Read more
Click on the above“Beginner Learning Vision” to select “Star” or “Pin” Important content delivered at the first time Linear Models Linear models are the simplest and most basic machine learning models. Their mathematical form is as follows: g(x;w)=. Sometimes, we also add a bias term b on top of, but as long as we expand … Read more
This session shares as the title: What Exactly Is Machine Learning A Beginner’s Tutorial to Understand Machine Learning //// //// First Steps in Machine Learning Of course, it’s to understand its basic concepts This article summarizes insights from the internet, personal learning notes✍ What is machine learning, and why does it have such great power? … Read more
Source: Zhihu Abner says AI This article is approximately 4500 words long and suggests a reading time of 9 minutes. This article summarizes the pros and cons of the top 10 machine learning algorithms. 1. Logistic Regression The binary logistic regression model is a classification model represented by the conditional probability distributionP(Y|X), which takes the … Read more
This article is approximately 12,000 words long and is recommended to be read in 10 minutes. This article will delve into the art of machine learning visualization, exploring various techniques that help us understand complex data-driven systems. Machine learning models have powerful and complex mathematical structures. Understanding their intricate workings is an important aspect of … 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