Regularization
- By
Wayne
When a model has poor performance, it cannot predict the data accurately. The main cause may be overfitting or underfitting. If it is a case of overfitting, we can use regularization to solve model overfitting.
Browsing Category
Machine Learning
22 posts
Regularization
- By
When a model has poor performance, it cannot predict the data accurately. The main cause may be overfitting or underfitting. If it is a case of overfitting, we can use regularization to solve model overfitting.
Overfitting and Underfitting
- By
Overfitting and underfitting are the root causes for poor model accuracy. Only by being able to determine whether a model is overfitting or underfitting can we take the correct approach to improve the performance of the model.
Logistic Regression
- By
Logistic regression is a data analysis technique used for classification. It is probably the simplest model among classification algorithms.
Feature Scaling
- By
In machine learning, before we take the data to train a model, we usually need to perform feature scaling on the data.
Linear Regression
- By
Linear regression is a data analysis technique that uses linear functions to predict unknown data. Although the linear regression model is relatively simple, it is a mature statistical technique.
Executing YOLOv8 Models on Android Using ONNX Runtime
- By
Open Neural Network Exchange (ONNX) is a model format defined by several major manufacturers. ONNX Runtime is a library that can execute ONNX models. It was developed by Microsoft. It supports multiple platforms, including Android.
Executing YOLOv8 Models on Android Using PyTorch
- By
PyTorch is a machine learning library developed by Meta. YOLOv8 also uses Pytorch internally. In addition to Python environments, we can now use PyTorch in non-Python environments.
Non Maximum Suppression (NMS)
- By
Non maximum suppression is a technique used in object detection to filter bounding boxes generated by object detection algorithms. If we don’t use NMS, we will get an image with dense frames.
Confusion Matrix
- By
The confusion matrix is a tool used to measure the performances of models. This allows data scientists to analyze and optimize models. Therefore, when learning machine learning, we must learn to use confusion matrix. In addition, this article will also introduce accuracy, recall, precision, and F1 score.
YOLOv8 Object Detection Tutorial
- By
YOLO (You Only Look Once) is a popular object detection model. Its high performance and high accuracy made it popular quickly. This article will introduce how to use YOLOv8 for object detection.
