In-depth Understanding of XGBoost Introduction in Machine Learning
Last Updated on November 13, 2023 by Editorial Team
Author(s): Amit Chauhan
Originally published on Towards AI.
Algorithm to improve the speed and performance
Photo by Alex Chumak on Unsplash
It is a technique to learn patterns from the data and make predictions. The machine learning algorithms implementation is data-based. As with time, we see the evolution of algorithms and some algorithms like SVM, Random Forest, or Gradient Boosting gives better result mostly on every type of data.
However, these algorithms still have some disadvantages in terms of over-fit, and scalability that directly impact the speed and performance of the models. To overcome these issues, researchers introduced the XGBoost library on top of the gradient boosting algorithm to improve the speed and performance.
Why… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!

Discover Your Dream AI Career at Towards AI Jobs
Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!
Note: Content contains the views of the contributing authors and not Towards AI.