Overview of Transformer Pre-trained Models in NLP

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?

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

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

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

Intuitive Explanation of Logistic Regression by Andrew Ng

Intuitive Explanation of Logistic Regression by Andrew Ng

Deep Learning is a major branch of Machine Learning, which attempts to use algorithms with multiple processing layers containing complex structures or multiple nonlinear transformations to perform high-level abstractions of data. Logistic Regression (Logistic Regression, also translated as “Log-Odds Regression”) is one of the discrete choice models, belonging to the category of multivariate analysis. It … Read more

First Published Foundation Model for SAR Image Target Recognition

First Published Foundation Model for SAR Image Target Recognition

Machine Heart released Machine Heart Editorial Department Synthetic Aperture Radar (SAR) is an active detection technology based on electromagnetic waves, providing all-weather, all-time ground observation capabilities. It has developed into an indispensable tool for ground observation, with significant applications in both military and civilian fields. Automatic Target Recognition (ATR) is the core issue of intelligent … Read more