Deep Learning Application for Retail

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Trent McMillan

1:00:28

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1. Course Overview

1. Course Overview.mp4

01:49

2. Deep Learning in Retail Applications

1. Use Case - Customer Segmentation.mp4

05:22

2. Use Case - Inventory Management.mp4

03:26

3. Use Case - Product Image Classification.mp4

02:46

4. Use Case - Price Optimization.mp4

03:00

5. Data Collection.mp4

04:51

6. Current Trends.mp4

04:14

3. Case Study - Recommendation Systems

1. Framing the Problem.mp4

04:28

2. Implementation.mp4

02:59

3. Results.mp4

03:30

4. Tips for Success.mp4

02:33

4. Case Study - Churn Prediction

1. Framing the Problem.mp4

02:39

2. Implementation.mp4

06:50

3. Results.mp4

04:33

4. Tips for Success.mp4

02:38

5. Summary

1. Summary.mp4

04:50

Description

This course will teach you how deep learning is being used to impact the retail market and shape the future of retail.

What You'll Learn?

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.

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Deep Learning

Retail Business

Trent McMillan

Instructor's Courses

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.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.