XGBoost for Regression Predictive Modeling and Time Series Analysis - Learn how to build, evaluate, and deploy predictive models with expert guidance

XGBoost for Regression Predictive Modelling and Time Series Analysis will help you get a practical understanding of the XGBoost algorithm.

About the author

Partha Pritam Deka is a data science leader with 15+ years of experience in semiconductor supply chain and manufacturing. As a senior staff engineer at Intel, he has led AI and machine learning teams, achieving significant cost savings and optimizations. He and his team developed a computer vision system that improved Intel's logistics, earning CSCMP Innovation Award finalist recognition. An active AI community member, Partha is a senior IEEE member and speaker at Intel's AI Everywhere conference. He also reviews for NeurIPS, contributing to AI and analytics in semiconductor manufacturing.

Product details

• Authors: Partha Pritam Deka, Joyce Weiner
• Publisher: Packt Publishing
• Languages: English
• Product format: Paperback / Softback
• Released: 13.12.2024
• EAN: 9781805123057
• ISBN: 978-1-80512-305-7
• No. of pages: 308
• Dimensions: 191 mm x 235 mm x 17 mm
• Weight: 579 g
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Operating systems, user interfaces