Gzip + kNN Text Classification Beats Transformer with 14 Lines of Code

Gzip + kNN Text Classification Beats Transformer with 14 Lines of Code

A few days ago, the ACL 2023 awards were announced, attracting significant attention. Among the many papers included, one titled “Low-Resource Text Classification: A Parameter-Free Classification Method with Compressors” has started to generate much discussion. This paper was jointly completed by the University of Waterloo and AFAIK, but it is neither an award-winning paper nor … Read more

Understanding Ten Models: Lasso, Bayesian, KNN, Logistic, Decision Trees, Random Forests, SVM, Neural Networks, XGBoost, LightGBM

Understanding Ten Models: Lasso, Bayesian, KNN, Logistic, Decision Trees, Random Forests, SVM, Neural Networks, XGBoost, LightGBM

Machine Learning Machine learning is an important branch of artificial intelligence, playing an increasingly significant role in areas such as data analysis, image recognition, and natural language processing in recent years. The basic concept of machine learning revolves around how to enable computers to learn and predict using data. R, as a powerful tool for … Read more

A Novel Hybrid Method for Plant Classification Based on CNN-KNN

A Novel Hybrid Method for Plant Classification Based on CNN-KNN

A Novel Hybrid Method for Plant Classification Based on CNN-KNN Abstract: Plant classification is an interesting problem in the field of computer vision. Many researchers have completed the classification of plants through their leaves and flowers. Multiple studies have shown that leaves are the best and most consistent source of information for plant classification. However, … Read more

Unveiling Word2Vec: A Small Step in Deep Learning, A Giant Leap in NLP

Unveiling Word2Vec: A Small Step in Deep Learning, A Giant Leap in NLP

Click the “AI Park” above to follow the public account, and choose to add a “star” or “top” Author: Suvro Banerjee Translated by: ronghuaiyang Prelude In NLP today, word vectors are indispensable. Word vectors provide us with a very good vector representation of words, allowing us to represent all words with a fixed-length vector, and … Read more

Using Word2Vec Word Vector Model in R

Using Word2Vec Word Vector Model in R

The gensim library in Python can train and use the Word2Vec model, and there is a corresponding word2vec package in R. Word2Vec is one of the most commonly used techniques in word embedding. If you are not familiar with word embeddings, you can read the previous articles. Reprint | Expanding Research Methods in Social Sciences … Read more

Training Word Vectors Based on Word2Vec (Part 2)

Training Word Vectors Based on Word2Vec (Part 2)

Author | Litchi Boy Editor | Panshi Produced by | Panshi AI Technology Team [Panshi AI Introduction]: In previous articles, we introduced some machine learning, deep learning beginner resource collections. This article continues the principles and practical applications of training word vectors based on Word2Vec, also by the expert Litchi Boy. If you like our … Read more

A Beginner’s Guide to Computer Vision

A Beginner's Guide to Computer Vision

Persisting with originality, click the blue text above to followme! Computer Vision is an important field of artificial intelligence technology. To put it metaphorically (though not necessarily accurately), I believe computer vision is the eye of the artificial intelligence era, highlighting its significance. Computer vision is actually a grand concept, and the image below summarizes … Read more

Comprehensive Overview of Data Augmentation Techniques in Computer Vision

Comprehensive Overview of Data Augmentation Techniques in Computer Vision

Click the “CVer” above and select “Star” to pin it Heavyweight content delivered first If we were to rank several stages in the deep learning development process by importance, preparing training data would surely be among the top few. It’s important to understand that once a model network is written, it is merely a chunk … Read more

Introduction to Computer Vision: Facial Beauty Scoring

Introduction to Computer Vision: Facial Beauty Scoring

Click “Computer Vision Life” to follow and star for faster access to valuable content! This article is authorized by Yousan AI Today we present a technology for scoring facial beauty in facial recognition. What standards are used to evaluate beauty? Since it is a “value”, can we “measure” it? 01 Overview In recent years, with … Read more

How to Quickly Improve Yourself in Computer Vision?

How to Quickly Improve Yourself in Computer Vision?

Click on the “Computer Vision Life” above and select “Star” Quickly obtain the latest insights Author: I am not good at this, compiled by I Love Computer Vision Link: https://www.zhihu.com/question/337889115/answer/770797118 First, a basic knowledge of machine learning is essential, as traditional methods involve manual features + machine learning approaches. Winning the ImageNet visual challenge before … Read more