◎ 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
The Gradient Boosting Decision Tree (GBDT), as a leader in ensemble learning, has won the favor of many data scientists due to its excellent performance in classification and regression tasks. This article will take you deep into the mysterious veil of GBDT and demonstrate how to efficiently implement GBDT using the sklearn library. 1. What … Read more
When it comes to artificial intelligence, the most commonly heard concept by the public is “Machine Learning” (ML). However, articles from a technical perspective can be a bit obscure, making it difficult for product managers (or novice users) to understand. Today, let’s discuss “What is Machine Learning” using the simplest language possible. 1. Three Very … Read more
1. What is Ensemble Learning? Ensemble learning is an important branch of machine learning. Ensemble learning, or ensemble learning, is a machine learning method that trains multiple different weak classifiers using sample data, and then integrates these weak classifiers into a powerful classifier. The basic structure of ensemble learning is as follows: first, a set … 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