We may earn an affiliate commission when you visit our partners.
Trent McMillan
This course will teach you how deep learning is being used to impact the retail market and shape the future of retail.
Read more
This course will teach you how deep learning is being used to impact the retail market and shape the future of retail.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/1xt8id/deep
What's inside
Syllabus
Course Overview
Deep Learning in Retail Applications
Case Study: Recommendation Systems
Case Study: Churn Prediction
Read more
Syllabus
Course Overview
Deep Learning in Retail Applications
Case Study: Recommendation Systems
Case Study: Churn Prediction
Read more
Summary
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops practical applications of Deep Learning for enhancing customer experience in retail settings
Teaches how to leverage AI and machine learning to address complex challenges and shape the future of retail
Examines real-world use cases of Deep Learning in retail, showcasing its impact on business outcomes
Delves into case studies on recommendation engines and churn prediction, providing hands-on experience with key applications
Suitable for retail professionals seeking to leverage Deep Learning to improve customer segmentation, inventory management, and pricing optimization
Provides practical insights into reducing customer churn using machine learning techniques
Taught by experienced instructors, Trent McMillan, known for their expertise in Deep Learning applications
Save this course
Save Deep Learning Application for Retail to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Deep Learning Application for Retail with these
activities:
Refresh Python skills
Show steps
Refamiliarize yourself with Python fundamentals to improve your performance in the course.
Browse courses on
Python
Show steps
-
Review Python syntax and data structures
-
Practice writing simple Python programs
Join a study group or online community for deep learning in retail
Show steps
Engage with peers, share knowledge, and collaborate on projects related to deep learning in retail.
Browse courses on
Deep Learning
Show steps
-
Identify online communities or forums dedicated to deep learning in retail
-
Join the community and introduce yourself
-
Participate in discussions and ask questions
Create a resource compilation on deep learning in retail
Show steps
Gather valuable resources and tools related to deep learning in retail in one convenient location.
Browse courses on
Deep Learning
Show steps
-
Identify and collect relevant articles, tutorials, videos, and datasets
-
Organize and categorize the resources
-
Share the compilation with others
Three other activities
Expand to see all activities and additional details
Show all six activities
Follow tutorials on deep learning applications in retail
Show steps
Gain practical insights into how deep learning is used in the retail industry by following guided tutorials.
Browse courses on
Deep Learning
Show steps
-
Identify reputable online platforms for tutorials
-
Choose tutorials that cover specific applications in retail
-
Complete the tutorials at your own pace
-
Apply the concepts learned to real-world scenarios
Solve coding challenges related to deep learning in retail
Show steps
Reinforce your understanding of deep learning algorithms and techniques by solving coding challenges.
Browse courses on
Deep Learning
Show steps
-
Find online coding platforms that offer retail-specific challenges
-
Select challenges that match your skill level
-
Solve the challenges and review your solutions
Write a blog post on a deep learning application in retail
Show steps
Demonstrate your understanding of deep learning and its applications in retail by creating a written piece.
Browse courses on
Deep Learning
Show steps
-
Choose a specific topic related to deep learning in retail
-
Research and gather information
-
Organize your thoughts and outline your post
-
Write and edit your blog post
Refresh Python skills
Show steps
Refamiliarize yourself with Python fundamentals to improve your performance in the course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review Python syntax and data structures
- Practice writing simple Python programs
Join a study group or online community for deep learning in retail
Show steps
Engage with peers, share knowledge, and collaborate on projects related to deep learning in retail.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Identify online communities or forums dedicated to deep learning in retail
- Join the community and introduce yourself
- Participate in discussions and ask questions
Create a resource compilation on deep learning in retail
Show steps
Gather valuable resources and tools related to deep learning in retail in one convenient location.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Identify and collect relevant articles, tutorials, videos, and datasets
- Organize and categorize the resources
- Share the compilation with others
Three other activities
Expand to see all activities and additional details
Show all six activities
Follow tutorials on deep learning applications in retail
Show steps
Gain practical insights into how deep learning is used in the retail industry by following guided tutorials.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Identify reputable online platforms for tutorials
- Choose tutorials that cover specific applications in retail
- Complete the tutorials at your own pace
- Apply the concepts learned to real-world scenarios
Solve coding challenges related to deep learning in retail
Show steps
Reinforce your understanding of deep learning algorithms and techniques by solving coding challenges.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Find online coding platforms that offer retail-specific challenges
- Select challenges that match your skill level
- Solve the challenges and review your solutions
Write a blog post on a deep learning application in retail
Show steps
Demonstrate your understanding of deep learning and its applications in retail by creating a written piece.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Choose a specific topic related to deep learning in retail
- Research and gather information
- Organize your thoughts and outline your post
- Write and edit your blog post
Career center
Learners who complete Deep Learning Application for Retail will develop knowledge and skills
that may be useful to these careers:
Retail Analyst
Retail Analyst
A Retail Analyst analyzes data to make informed decisions about retail operations. This course in Deep Learning Application for Retail is a perfect fit for someone who wants to become a Retail Analyst. Retail Analysts need to have a deep understanding of the retail industry and how to use data to improve retail operations. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning systems to solve business problems. This course in Deep Learning Application for Retail will help you to become a Machine Learning Engineer. It provides you with a strong foundation in the fundamentals of machine learning. It also teaches you how to use deep learning techniques to solve real-world problems in the retail industry. By the end of this course, you will have the skills and knowledge you need to build and deploy machine learning systems that can improve business outcomes for retailers.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make informed investment decisions. This course in Deep Learning Application for Retail is a valuable stepping stone for someone who wants to become a Financial Analyst. Financial Analysts need to have a strong understanding of financial markets and how to use data to make investment decisions. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Data Scientist
Data Scientist
A Data Scientist analyzes data to extract meaningful insights and trends that can be used by businesses to improve their decision-making. This course in Deep Learning Application for Retail is a valuable stepping stone for one who wants to become a Data Scientist. Data Scientists need to have a strong foundation in mathematics, statistics, and machine learning techniques. This course helps build a foundation in these areas and gives students the opportunity to practice using machine learning techniques on real-world data. It also provides students with an understanding of how deep learning is used to drive better business outcomes for retailers.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course in Deep Learning Application for Retail is a valuable stepping stone for someone who wants to become a Software Engineer. Software Engineers need to have a strong understanding of software engineering principles and how to use data to solve business problems. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Data Engineer
Data Engineer
A Data Engineer builds and maintains data pipelines. This course in Deep Learning Application for Retail is a valuable stepping stone for someone who wants to become a Data Engineer. Data Engineers need to have a strong understanding of data engineering principles and how to use data to solve business problems. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Sales Manager
Sales Manager
A Sales Manager is responsible for managing a sales team and achieving sales goals. This course in Deep Learning Application for Retail is a valuable stepping stone for someone who wants to become a Sales Manager. Sales Managers need to have a deep understanding of the sales process and how to use data to drive sales decisions. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. This course in Deep Learning Application for Retail is a valuable stepping stone for someone who wants to become a Marketing Manager. Marketing Managers need to have a deep understanding of the marketing process and how to use data to drive marketing decisions. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Customer Success Manager
Customer Success Manager
A Customer Success Manager is responsible for ensuring that customers are satisfied with their products or services. This course in Deep Learning Application for Retail is a valuable stepping stone for someone who wants to become a Customer Success Manager. Customer Success Managers need to have a deep understanding of the customer experience and how to use data to improve it. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Business Analyst
Business Analyst
A Business Analyst uses data and analysis to identify and solve business problems. This course in Deep Learning Application for Retail is a valuable stepping stone for one who wants to become a Business Analyst. Business Analysts need to have a strong understanding of business processes and how to use data to improve them. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Operations Manager
Operations Manager
An Operations Manager is responsible for overseeing the day-to-day operations of a business. This course in Deep Learning Application for Retail is a valuable stepping stone for someone who wants to become an Operations Manager. Operations Managers need to have a deep understanding of the business and how to use data to improve operations. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Consultant
Consultant
A Consultant provides advice and guidance to businesses on a variety of topics. This course in Deep Learning Application for Retail may be useful for someone who wants to become a Consultant. Consultants need to have a deep understanding of the business world and how to use data to solve business problems. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. This course in Deep Learning Application for Retail may be useful for someone who wants to become a Product Manager. Product Managers need to have a strong understanding of the product development process and how to use data to drive product decisions. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Entrepreneur
Entrepreneur
An Entrepreneur starts and runs their own business. This course in Deep Learning Application for Retail may be useful for someone who wants to become an Entrepreneur. Entrepreneurs need to have a deep understanding of the business world and how to use data to make informed decisions. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
Data Analyst
Data Analyst
A Data Analyst uses data to make informed decisions. This course in Deep Learning Application for Retail may be useful to someone who wants to become a Data Analyst. Data Analysts need to have a strong foundation in mathematics, statistics, and data analysis techniques. This course will help you to develop these skills. It will also introduce you to deep learning techniques that can be used to analyze data more effectively.
For more career information including salaries, visit:
OpenCourser.com/course/1xt8id/deep
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Deep Learning Application for Retail.
Serves as an excellent reference for understanding the fundamentals of deep learning and its implementation using Python. It provides a strong foundation for applying deep learning techniques in retail.
Offers a hands-on approach to machine learning using popular libraries like Scikit-Learn, Keras, and TensorFlow. It provides a practical guide to building and evaluating machine learning models.
Highlights the importance of customer experience in retail and provides strategies for building lasting customer relationships. It complements the course's focus on deep learning by emphasizing the human aspect of retail.
Provides a rigorous treatment of statistical learning algorithms, including supervised and unsupervised methods. It serves as an excellent reference for understanding the theoretical underpinnings of deep learning techniques.
Focuses on deep learning applications in computer vision, which is relevant to certain aspects of retail, such as image recognition and object detection.
Save
Provides a comprehensive overview of natural language processing (NLP) using deep learning techniques. It is valuable for understanding how NLP can be applied in retail, such as for chatbots or product descriptions.
Save
Offers a practical guide to predictive modeling, covering topics like data preparation, model selection, and evaluation. It provides a solid foundation for applying deep learning for prediction tasks in retail.
Provides a probabilistic approach to machine learning, offering a deeper understanding of the underlying principles. It is beneficial for learners who want to explore the theoretical foundations of deep learning.
Save
Offers a comprehensive overview of data mining techniques, including machine learning algorithms. It provides a solid background for learners who want to further explore the fundamentals of machine learning.
Provides a practical introduction to machine learning, covering various algorithms and their applications. It offers a gentle introduction to machine learning concepts.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1xt8id/deep
Share
Similar courses
Here are nine courses similar to
Deep Learning Application for Retail.
Machine Learning for Retail
OpenCourser.com/course/1vrjw6/machine
Machine Learning for Retail
Most relevant
Fashion Retail Transformation
OpenCourser.com/course/j09gg4/fashion
Fashion Retail Transformation
Most relevant
Machine Learning in Retail
OpenCourser.com/course/0c3w1c/machine
Machine Learning in Retail
Retail Customer Service
OpenCourser.com/course/sloa8d/retail
Retail Customer Service
Digital Skills: Retail
OpenCourser.com/course/8he25z/digital
Digital Skills: Retail
Lean Enterprise Framework: Transform the Business Model
OpenCourser.com/course/nelo5v/lean
Lean Enterprise Framework: Transform the Business Model
Introduction to Customer Service
OpenCourser.com/course/rg3ygb/introduction
Introduction to Customer Service
Interacting with Customers
OpenCourser.com/course/rvv1n9/interacting
Interacting with Customers
Build Decision Trees, SVMs, and Artificial Neural Networks
OpenCourser.com/course/1nfw4w/build
Build Decision Trees, SVMs, and Artificial Neural Networks
Time
60 hours
Level
Introductory
Via
Pluralsight
Instructor
Trent McMillan
Language
English
Good to know
Develops practical applications of Deep Learning for enhancing customer experience in retail settings
Teaches how to leverage AI and machine learning to address complex challenges and shape the future of retail
Examines real-world use cases of Deep Learning in retail, showcasing its impact on business outcomes
Delves into case studies on recommendation engines and churn prediction, providing hands-on experience with key applications
Suitable for retail professionals seeking to leverage Deep Learning to improve customer segmentation, inventory management, and pricing optimization
Provides practical insights into reducing customer churn using machine learning techniques
Taught by experienced instructors, Trent McMillan, known for their expertise in Deep Learning applications
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser