Machine learning is divided into two main categories based on model type: supervised learning models and unsupervised learning models: 1. Supervised Learning Supervised learning typically utilizes training data with expert-labeled tags to learn a function mapping from input variable X to output variable Y. Y = f(X), where training data is usually in the form … Read more
Approximately 8000 words, recommended reading time 15 minutes. This article provides a brief and comprehensive introduction to the currently more common artificial intelligence libraries. In order for everyone to have a preliminary understanding of commonly used Python libraries for artificial intelligence, to choose the libraries that can meet their needs for learning, a brief and … Read more
Source: Pythonic Biologists This article is about 7000 words, and it is recommended to read for 10+minutes. Is deep learning the same as classical statistics? Is deep learning the same as classical statistics? Many people may have this question, as there are many similar terms between the two. In this article, theoretical computer scientist and … Read more
If we don’t click on the blue words, where do our stories come from? The process of constructing a knowledge graph is a continuous iterative process that combines human and machine efforts, primarily driven by machine learning, with expert definitions and corrections. The work that requires human intervention includes schema definition, preparation of partially structured … Read more
Source: Robot Network In fact, artificial intelligence has been a 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 10 major algorithms in the field of artificial intelligence, which are quite … Read more
What is Artificial Intelligence? Many people know, but most cannot explain clearly. In fact, artificial intelligence has existed in our lives for a long time. For example, the email we often use, wherespam filtering relies on artificial intelligence; For example, thefingerprint recognition or facial recognition equipped in every smartphone is also achieved using artificial intelligence … Read more
Click the above“Beginner’s Guide to Vision”, select to add “Star” or “Top” Important content delivered promptly <<Beginner’s Guide to PyTorch>> Reference Directory: 1 Matrix and Scalar 2 Hadamard Product 3 Matrix Multiplication 4 Power and Square Root 5 Logarithmic Operations 6 Approximation Operations 7 Clamping Operations This lesson mainly explains some operations in PyTorch, including … Read more
Click above Datartisan Data Craftsman You can subscribe! Artificial Neural Networks (ANN) are algorithms developed based on the brain’s processing mechanism to establish complex patterns and predictive problems. First, let’s understand how the brain processes information: In the brain, there are billions of neuron cells that process information in the form of electrical signals. External … Read more
Machine Heart Column Author: Liu Zhongyu Source: Geetest (geetest_jy) Today I want to share with you about Graph Convolutional Networks. With the development of artificial intelligence, many people have heard of concepts such as machine learning, deep learning, and convolutional neural networks. However, Graph Convolutional Networks are not often mentioned. So, what are Graph Convolutional … Read more
Selected from Analytics Vidhya Author:Pranav Dar Translated by Machine Heart Contributors: Chen Yunzhu, Lu This article introduces 25 open deep learning datasets, including those for image processing, natural language processing, speech recognition, and real-world problem datasets. Introduction The key to deep learning (or most fields in life) is practice. You need to practice solving various … Read more