Artificial Intelligence (AI) is an important driving force behind the new wave of technological revolution and industrial transformation, with data, algorithms, and computing power recognized as the three core elements of artificial intelligence. With the arrival of the “Hundred Models War” featuring ChatGPT, Sora, and others, artificial intelligence is increasingly becoming a tangible part of … Read more
Non-Business Promotion Space Cover Image Source:CAM (Cambridge Alumni Magazine) Issue 85 Written by | Jin Chunqi In recent years, deep learning methods have achieved tremendous success in learning complex data forms, leading to new modeling and data processing methods across many scientific disciplines. It can address numerous data-intensive tasks, including but not limited to 3D … Read more
Source: Asynchronous Community As artificial intelligence gradually gains traction, facial recognition, voice recognition, and deep analysis of text have increasingly found applications in our daily lives. Furthermore, through continuous understanding of client needs at work, I have noticed a growing interest in inquiries related to deep learning or neural network algorithms. This indicates that with … Read more
In fact, artificial intelligence has been part of our lives for a long time. However, for many people, artificial intelligence is still a relatively “profound” technology,but no matter how profound the technology is, it starts from basic principles.. There are ten major algorithms in the field of artificial intelligence, which are simple in principle, discovered … Read more
Source: DeepHub IMBA This article is about 2600 words long and is recommended to be read in 5 minutes. This article will start from the basics to introduce what a graph is, how we describe and represent them, and what their properties are. Graph Machine Learning (Graph ML) is a branch of machine learning that … Read more
Core Points:A comprehensive summary of machine learning concepts, highly recommended for collection! Hi, I am Cos Dazhuang! Machine learning is divided into two main categories based on model types: supervised learning models and unsupervised learning models. 1. Supervised Learning Supervised learning typically uses training data with expert-labeled tags to learn a function mapping from input … Read more
Source: Internet Introduction For almost all machine learning algorithms, whether supervised learning, unsupervised learning, or reinforcement learning, the ultimate goal generally boils down to solving optimization problems. Therefore, optimization methods play a central role in the derivation and implementation of machine learning algorithms. In this article, the author will provide a comprehensive summary of the … Read more
Machine learning is divided into two main categories based on model types: supervised learning models and unsupervised learning models. 1. Supervised Learning Supervised learning typically uses training data with expert-labeled tags to learn a function mapping from input variable X to output variable Y. Y = f(X), and the training data is usually in the … Read more
As we all know, artificial intelligence is one of the hottest topics today, and the rapid development of computer and internet technologies has pushed research in artificial intelligence to a new climax. Artificial intelligence is an emerging technological science that studies the theories, methods, and applications of simulating and extending human intelligence. Machine learning, as … Read more
This is the664th original article. Your attention is the greatest encouragement for us! Keywords: fairness, bias, debiasing learning, image recognition, deep learning Algorithmic fairness is one of the important themes in the benevolent development of artificial intelligence and a key component of trustworthy AI. Establishing reasonable models to ensure unbiased algorithmic decision-making is a necessary … Read more