Source: AI Technology Review, DataPi THU This article is about 7100 words long and is recommended for a 13-minute read. It summarizes the historical origins of several foundational algorithms in the field of machine learning. Recently, Andrew Ng updated a blog post on his founded AI Weekly, “The Batch”, summarizing the historical origins of several … Read more
1. Logistic Regression The binary logistic regression model is a classification model represented by the conditional probability distribution P(Y|X), in 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 … Read more
The following notes summarize key points from the second week of the first part of Andrew Ng’s “Neural Networks and Deep Learning” course in the DeepLearning.ai project on Coursera. These notes do not cover all the details of the video lectures. For content omitted in these notes, please refer to Coursera or NetEase Cloud Classroom. … Read more
1. Linear Regression Linear regression is a statistical method used to study the relationship between two continuous variables: one independent variable and one dependent variable. The goal of linear regression is to find the best-fit line through a set of data points, which can then be used to predict future observations. The equation for a … 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
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
First Author: Wang Ruoran, Wang Leping Corresponding Author: Xu Jianguo Author Affiliation: West China Hospital, Sichuan University [REF: Wang R, Wang L, Zhang J, He M, Xu J. XGBoost Machine Learning Algorithm Performed Better Than Regression Models in Predicting Mortality of Moderate-to-Severe Traumatic Brain Injury [published online ahead of print, 2022 Apr 14]. World Neurosurg. … Read more
Source: Turing Artificial Intelligence, Aotu Data This article is about 3600 words long and suggests a reading time of 7 minutes. This article introduces the 10 most common machine learning algorithms in an illustrated manner. In the field of machine learning, there is a saying that “there is no free lunch in the world”, which … Read more
In the field of machine learning, there is a saying that “there is no free lunch in the world,” which simply means that no single algorithm can perform best on every problem. This theory is particularly important in supervised learning. For example, you cannot say that neural networks are always better than decision trees, or … Read more
Author: Matthew Stewart Translator: Che Qianzi Proofreader: Chen Dan This article is approximately 5500 words, and it is recommended to read it in 12 minutes. The knowledge in this article will provide a strong foundation to introduce you to the performance of neural networks, applied in deep learning applications. “Your brain does not generate thoughts. … Read more