Introduction In today’s digital age, data is everywhere, and with the rise of big data and machine learning, the number of features that can be collected is increasing rapidly. However, while having more data may seem like an advantage, it can often lead to feature overload, which can negatively impact the performance of models. Feature …
Artificial Intelligence (AI) has come a long way since its inception, and now it is one of the most promising fields in computer science. The goal of AI is to create intelligent systems that can perform tasks that normally require human intelligence, such as speech recognition, visual perception, and decision-making. There are two main approaches …
Discriminative AI vs Generative AI: The Battle of the Models Read More »
Introduction Penalized regression is a technique used in machine learning and statistics to improve the performance of linear regression models. One specific variation of penalized regression is known as two-pass regression, which involves two stages of variable selection and regularization. In this blog post, we will discuss the concept of penalized two-pass regression, its advantages, …
Penalized Two-Pass Regression: A Step-by-Step Guide Read More »
