Self-Supervised Learning

Building DINO Model and PyTorch from Scratch: Self-Supervised Vision Transformer

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Building DINO Model and PyTorch from Scratch: Self-Supervised Vision Transformer

Click the above“Beginner Learning Vision” to choose to add Star or Pin. Important content delivered at the first time Dog Sprint Output from DINO Model Unlabeled Self-Distillation (DINO) The article “Reconstructing Complete Images from Several ‘Patches’ | Building Scalable Learners with Masked Autoencoders” discusses how to build scalable learners, continuing my series on vision transformers, … Read more

Detection of False Data Injection Attacks Using Unsupervised and Supervised Learning

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Detection of False Data Injection Attacks Using Unsupervised and Supervised Learning

Reference Information (Click Title to Read Full Text) Huang Dongmei, Wang Yifan, Hu Anduo, et al. Detection method of false data injection attack based on unsupervised and supervised learning[J]. Electric Power Engineering Technology, 2024, 43(2):134-141. HUANG Dongmei, WANG Yifan, HU Anduo, et al. Detection method of false data injection attack based on unsupervised and supervised … Read more

Top 10 Most Common Machine Learning Algorithms Explained

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Top 10 Most Common Machine Learning Algorithms Explained

Click the image below to search【Interview Guide】 to obtain interview questions + resume templates. In the field of machine learning, there is a saying that “there is no free lunch”. In simple terms, it means that no single algorithm can perform best on every problem. This theory is particularly important in supervised learning. For example, … Read more

17 Common Algorithms in Machine Learning

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17 Common Algorithms in Machine Learning

Source: Turing Artificial Intelligence Depending on the type of data, modeling a problem can be approached in different ways. In the field of machine learning or artificial intelligence, people first consider the learning method of the algorithm. There are several main learning methods in machine learning. Categorizing algorithms according to their learning methods is a … Read more

Learning Methods of Artificial Neural Networks

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Learning Methods of Artificial Neural Networks

The learning of artificial neural networks mainly refers to the use of learning algorithms to adjust the connection weights between neurons, so that the network output better matches reality. Learning algorithms are divided into supervised learning and unsupervised learning. Supervised learning, also known as teacher-based learning, is a learning method where a set of training … Read more

17 Common Algorithms in Machine Learning

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17 Common Algorithms in Machine Learning

Source ： Turing Artificial Intelligence According to the different types of data, modeling a problem can be done in various ways. In the field of machine learning or artificial intelligence, the learning method of the algorithm is usually the first consideration. There are several main learning methods in machine learning. Classifying algorithms by learning methods … Read more

Overview of Transformer Pre-trained Models in NLP

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Overview of Transformer Pre-trained Models in NLP

The revolution brought by the Transformer in the field of natural language processing (NLP) is beyond words. Recently, researchers from the Indian Institute of Technology and biomedical AI startup Nference.ai conducted a comprehensive investigation of Transformer-based pre-trained models in NLP and compiled the results into a review paper. This article will roughly translate and introduce … Read more

Why Transformers for NLP Tasks Can Be Applied to Computer Vision?

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Why Transformers for NLP Tasks Can Be Applied to Computer Vision?

Click on the above “Beginner Learning Vision” to choose to add a Star or “Top” Important content delivered promptly Almost all natural language processing tasks, from language modeling and masked word prediction to translation and question answering, have undergone revolutionary changes since the Transformer architecture first appeared in 2017. The Transformer also performs excellently in … Read more

How to Use XGBoost for Time Series Forecasting

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How to Use XGBoost for Time Series Forecasting

↑↑↑ Follow and Star “Datawhale” Daily insights & monthly study groups, don’t miss out Datawhale Insights Source: Jason Brownlee, Organized by Data Science THU This article is approximately 3300 words, and is recommended to read in 10minutes This article introduces how to use XGBoost for time series forecasting, including transforming time series into a supervised … Read more

Understanding Machine Learning Algorithms

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Understanding Machine Learning Algorithms

This article will explain the essence of machine learning algorithms and the principles of machine learning algorithms, as well as their applications in three aspects, helping you understand machine learning algorithmsMachine Learning Algorithms。 Machine Learning AlgorithmsMachine Learning Algorithms 1. Essence of Machine Learning AlgorithmsDefinition of Machine Learning Algorithms: Machine Learning Algorithms are defined as: mathematical … Read more