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Retail AI Use Case: Building a Demand Prediction Model

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Predictive Modeling Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses Forecasting Courses Key Performance Indicators Courses Retail Industry Courses

Course Description

Overview

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Explore the process of building a demand prediction model for retail AI in this 42-minute conference talk from the Toronto Machine Learning Series. Gain insights from Steven Keith Platt, Lecturer and Research Director at the Retail Analytics Council of Northwestern University and Co-Founder of RetailPredict.ai. Learn how to effectively frame a retail business use case, identify relevant Key Performance Indicators (KPIs), and discover prediction models that offer easily implementable solutions for demand forecasting in the retail sector.

Syllabus

Retail AI Use Case Building a Demand Prediction Model


Taught by

Toronto Machine Learning Series (TMLS)

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