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Data Science Webinar Series - Session 1 - Mathematical Optimization Modeling: Learn the Basics
1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)
2. Optimization Problems
What Is Mathematical Optimization
Hyperparameter Tuning Tips that 99% of Data Scientists Overlook
FULL TUTORIAL: Price Elasticity and Optimization in Python (feat. pyGAM)
The DataHour: Introduction to Optimization Problems for Data Scientists
How AI is Changing Data Scientist's Workflow
Statistics - A Full Lecture to learn Data Science (2025 Version)
Optimization in Data Science
A/B Testing in Data Science Interviews by a Google Data Scientist | DataInterview
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Last Updated: September 27, 2026
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In this series of lectures now we will look at the use of Aleksandr Aravkin University of Washington Find Workshop 2 at youtube.com/watch?v=XmK2iQTMg5E. MIT 6.0002 Introduction to Computational Thinking and A gentle and visual introduction to the topic of Convex In this video you will learn about hyperparameter tuning for XGBoost models using optuna. We also will leverage XGBoost 3.0's ... Recommended AI courses to help you level up as top 1% data professionals: DataCamp AI Engineer for In this video, we'll explore essential tools and techniques that power Visit datainterview.com/ Join the