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Resources

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Author: Shenggang Li

Bayesian Methods: From Theory to Real-World Applications
Data Science  Latest  Machine Learning

Bayesian Methods: From Theory to Real-World Applications

Shenggang Li
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September 29, 2024

Author(s): Shenggang Li Originally published on Towards AI. A Practical Guide to Using Bayesian Techniques in A/B Testing and Uplift Modeling This member-only story is on us. Upgrade to access all of Medium. Photo by Mike Hindle on Unsplash The Bayesian approach …

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Optimizing Supply Chain with Time Series Forecasting: A Customer-Centric Approach
Latest  Machine Learning

Optimizing Supply Chain with Time Series Forecasting: A Customer-Centric Approach

Shenggang Li
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September 20, 2024

Author(s): Shenggang Li Originally published on Towards AI. Using the Repurchase Predictive Model for Product Demand Forecasting This member-only story is on us. Upgrade to access all of Medium. Photo by iStrfry , Marcus on Unsplash In this paper, I explore a …

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Solving Complex Business Problems with Mixed-Integer Linear Programming
Latest  Machine Learning

Solving Complex Business Problems with Mixed-Integer Linear Programming

Shenggang Li
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September 17, 2024

Author(s): Shenggang Li Originally published on Towards AI. A Practical Exploration of MILP Applications: From Workforce Optimization to Financial Planning and Beyond This member-only story is on us. Upgrade to access all of Medium. Photo by Ruth H Curtis on Unsplash If …

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Dynamic Time Series Model Updating
Latest  Machine Learning

Dynamic Time Series Model Updating

Shenggang Li
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September 11, 2024

Author(s): Shenggang Li Originally published on Towards AI. Enhancing Forecast Accuracy with Incremental Adjustments Without Rebuilding Models This member-only story is on us. Upgrade to access all of Medium. Photo by Mika Baumeister on Unsplash Imagine you run an online store with …

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