Deep Learning Application for Retail
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This course will teach you how deep learning is being used to impact the retail market and shape the future of retail.
AI and machine learning can help tackle complex problems and shape the future of retail. In this course, Deep Learning Application for Retail, you’ll learn how deep learning is being used in the real world to drive better business outcomes for retailers. First, you’ll explore several practical use cases for deep learning such as customer segmentation, inventory management, and pricing optimization. Next, you’ll examine a case study on recommendation engines and discover how personalized product recommendations can be used to promote upsell and cross sell opportunities. Finally, you’ll learn how to use machine learning to reduce customer churn and improve your company’s bottom line. When you’re finished with this course, you will have a better understanding of how deep learning is integrated into our daily lives and how it can be used to make retail businesses more successful.
Author Name: Trent McMillan
Author Description:
Trent has a master’s degree in Information Systems from Brigham Young University and a love for all things data. When he isn’t on his computer he enjoys dirt bikes, DIY projects, and spending time with family and friends.
Table of Contents
- Course Overview
1min - Deep Learning in Retail Applications
23mins - Case Study: Recommendation Systems
13mins - Case Study: Churn Prediction
16mins - Summary
4mins
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