Webinar: Measurement Systems Techniques And Analysis Of Big Data Projects And Their Comparison With Traditional Agreement And R&R Studies
Presented by: Ernesto Garcia
Predictive analytic tools such as in machine learning methods are proving themselves to be very powerful. These tools are now more accessible than ever and easy to use in software packages like Minitab. But what are their advantages over traditional tools like multiple linear regression? This webinar will compare the predictive abilities of tree-based methods compared to traditional regression and explore some advantages and disadvantages of each.
Webinar:Measurement Systems Techniques And Analysis Of Big Data Projects And Their Comparison With Traditional Agreement And R&R Studies
Trust in your measurements is paramount in an improvement project, with the advent of projects that rely on measurements from IOT (Internet of Things) devices or big distributed databases, it is important to know the techniques used in AI analytics to guarantee the reliability of our project's data. The basics of ETL (Extract-Transform-Load) and the integration of Six Sigma MSA concepts in big data projects will be covered.
About the Presenter
Ernesto Luis Garcia Contreras is an engineer who adds value to any organization through process improvement, management science, operations research, data science/machine learning/ business intelligence, mathematical modeling, and statistical analysis.
He has supported large and small organizations in Asia, Europe, and the Americas. He lectures on production and manufacturing systems, quality engineering, operations management, machine learning, and statistical analysis at different universities worldwide. He is a faculty member at Florida State University, in charge of capstone design for Industrial and Manufacturing Engineers at FAMU-FSU College of Engineering. He is also the Managing Director of Appaloosa Engineering, a consulting company specializing in applied optimization, data science, and process improvement.
Ernesto graduated from Instituto Tecnologico y de Estudios Superiores de Monterrey (ITESM) with a bachelor's degree in Mechanical and Electrical Engineering. He holds a Master's in Business Administration and a Master’s in Managerial Economics from EGADE-ITESM. As a Fulbright scholar, he received a Ph.D. in Industrial Engineering from the University of Missouri-Columbia.
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