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