AI Algorithms

Differences Between Artificial Intelligence, Machine Learning, and Deep Learning

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Differences Between Artificial Intelligence, Machine Learning, and Deep Learning

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

A Comprehensive Guide to Machine Learning Algorithms

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A Comprehensive Guide to Machine Learning Algorithms

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

Can Machines Learn and Forget?

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Can Machines Learn and Forget?

◎ 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

Comprehensive Summary of Optimization Algorithms in Machine Learning

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Comprehensive Summary of Optimization Algorithms in Machine Learning

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

Pros and Cons of the Top 10 Machine Learning Algorithms

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Pros and Cons of the Top 10 Machine Learning Algorithms

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

The Simplest Explanation of Machine Learning

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The Simplest Explanation of Machine Learning

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

A Comprehensive Guide to Optimization Algorithms in Machine Learning

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A Comprehensive Guide to Optimization Algorithms in Machine Learning

Introduction For almost all machine learning algorithms, whether supervised learning, unsupervised learning, or reinforcement learning, the final goal generally boils down to solving an optimization problem. Therefore, optimization methods occupy a central position in the derivation and implementation of machine learning algorithms. In this article, the author will provide a comprehensive summary of the optimization … Read more

Pros and Cons of the Top 10 Machine Learning Algorithms

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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), with the form of a parameterized logistic distribution. Here, the random variable X takes real values, and the random variable Y takes values of 1 or 0. The model parameters can be estimated using a supervised method. … Read more

Essential Course for AI Product Managers: Machine Learning Algorithms

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Essential Course for AI Product Managers: Machine Learning Algorithms

1. What is Machine Learning 1. Meaning Machine learning, is a branch of artificial intelligence that specifically studies how computers can simulate or realize human learning behavior. It trains models through various algorithms and uses these models to recognize and predict new problems. Essentially, machine learning is a way of extracting patterns from data or … Read more

A Simple Explanation of Machine Learning

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A Simple Explanation of Machine Learning

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