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Aleksandr Aravkin University of Washington Find Workshop 2 at In this series of lectures now we will look at the use of MIT 6.0002 Introduction to Computational Thinking and Prof. Dr. Thomas Slawig Institut für Informatik, Christian-Albrechts-Universität Kiel. Businesses that wish to make better decisions often invest in predictive Machine Learning Graduate Course, Professor Michael J. Pyrcz Lecture Summary: Lecture on the basics of
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Optimization in Data Science
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1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)
Optimization and Data Science: Lecture 16: Optimization and Statistic
Optimization Concepts for Data Scientists - John Turner, Associate Professor at UCI Paul Merage
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#23 Optimization for Data Science | Data Science for Engineers
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Last Updated: June 8, 2026
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