Partha Pritam Deka, Joyce Weiner

XGBoost for Regression Predictive Modeling and Time Series Analysis

Learn how to build, evaluate, and deploy predictive models with expert guidance

• Broschiertes Buch

Produktbeschreibung

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

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 308
• Erscheinungstermin: 13. Dezember 2024
• Englisch
• Abmessung: 235mm x 191mm x 17mm
• Gewicht: 531g
• ISBN-13: 9781805123057
• ISBN-10: 180512305X
• Artikelnr.: 72223039

Autorenporträt

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.