Partha Pritam Deka, Joyce Weiner

eBook, PDF

XGBoost for Regression Predictive Modeling and Time Series Analysis (eBook, PDF)

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

Beschreibung

No detailed description available for "XGBoost for Regression Predictive Modeling and Time Series Analysis".

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 10.04MB

Barrierefreiheit

• Text-to-Speech

Autor

Deka Partha Pritam :

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.Weiner Joyce :

Joyce Weiner is a principal engineer with Intel Corporation. She has over 25 years of experience in the semiconductor industry, having worked in fabrication, assembly and testing, and design. Since the early 2000s, she has deployed applications that use machine learning. Joyce is a black belt in Lean Six Sigma and her area of technical expertise is the application of data science to improve efficiency. She has a BS in Physics from Rensselaer Polytechnic Institute and an MS in Optical Sciences from the University of Arizona.

Produktdetails

• Verlag: De Gruyter
• Seitenzahl: 308
• Erscheinungstermin: 27. Dezember 2024
• Englisch
• ISBN-13: 9781805129608
• Artikelnr.: 75540008