Introduction In recent years, large language models have become a crucial part of software development, providing an array of functionalities that enhance user interactions and automate tasks. The Tiny LLaMA 3.2 1B model, a smaller yet powerful variant of the LLaMA series, allows developers to implement advanced capabilities, such as function calling, to improve functionality … Read more
Introduction Deep learning has witnessed significant advancements over the decades, and LeNet-5 stands out as a foundational milestone. Developed by Yann LeCun and his collaborators in 1998, LeNet-5 was a revolutionary convolutional neural network (CNN) that demonstrated the power of convolutional architectures for tasks like handwritten digit recognition. Its contributions to the field of deep … Read more
Introduction:In the realm of statistics and machine learning, logistic regression stands as one of the fundamental techniques for classification tasks. Despite its name, logistic regression is primarily used for binary classification problems. However, it can also be extended to handle multi-class classification tasks with appropriate modifications. Table of Contents 1. What is Logistic Regression? Logistic … Read more
In predictive modeling and statistical analysis, Elastic Net Regression stands as a versatile technique that combines the strengths of both Lasso and Ridge Regression. This hybrid approach offers a robust solution to the challenges posed by multicollinearity, overfitting, and feature selection in high-dimensional datasets. Understanding Elastic Net Regression 1. What is Elastic Net Regression? Elastic … Read more
In predictive modeling and statistical analysis, Polynomial Regression stands as a powerful tool capable of capturing complex relationships between variables. Its versatility makes it a popular choice across various domains such as economics, physics, engineering, and more. Machine Learning. Understanding Polynomial Regression 1. What is Polynomial Regression? Polynomial Regression is a form of regression analysis … Read more