We may earn an affiliate commission when you visit our partners.
Deep Learning Application for Marketing
Netta Tzin
Netta Tzin
This course will teach you how Deep learning is integrated into the daily practices of digital marketing, in order to improve digital marketing practices in the data driven era, and maintain better connections with existing and potential users.
Read more
This course will teach you how Deep learning is integrated into the daily practices of digital marketing, in order to improve digital marketing practices in the data driven era, and maintain better connections with existing and potential users.
Read more
This course will teach you how Deep learning is integrated into the daily practices of digital marketing, in order to improve digital marketing practices in the data driven era, and maintain better connections with existing and potential users.
This Path is designed to have learners experience how Deep learning is integrated into our day to day lives. The Learning outcome for this course is to review case studies related to Deep Learning application for Marketing. The course will cover approaches and algorithms that are effective in simplifying processes for Marketing. Business case study examples provided are indicative.
Register for this course and see more details by visiting:
OpenCourser.com/course/hkg8tg/deep
What's inside
Syllabus
Course Overview
Introducing Deep Learning as Part of Artificial Intelligence and Its Usage in Digital Marketing
Exploring Deep Learning Applications in Marketing through Various Business Use-cases
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops professional skills in deploying Deep Learning in the marketing world
Suitable for intermediate learners seeking to strengthen their Deep Learning knowledge in a marketing context
Teaches approaches and algorithms to simplify marketing processes using Deep Learning
Covers case studies related to Deep Learning applications in marketing, providing practical insights for learners
Save this course
Save Deep Learning Application for Marketing to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Deep Learning Application for Marketing.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Deep Learning Application for Marketing will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is a professional who designs, builds, and maintains machine learning models. Deep learning is a subset of machine learning that is used to build and train models that can learn from data without being explicitly programmed. This course will provide you with the skills and knowledge to apply deep learning to marketing problems, which will make you a more valuable asset to any organization.
Data Scientist
Data Scientist
A Data Scientist is a professional who uses data to solve business problems. Deep learning is a powerful tool for data analysis, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
AI Engineer
AI Engineer
An AI Engineer is a professional who designs, builds, and maintains AI models. Deep learning is a subset of AI that is used to build and train models that can learn from data without being explicitly programmed. This course will provide you with the skills and knowledge to apply deep learning to marketing problems, which will make you a more valuable asset to any organization.
Marketing Analyst
Marketing Analyst
A Marketing Analyst is a professional who analyzes data to help businesses make better marketing decisions. Deep learning is a powerful tool for marketing analysis, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
Product Manager
Product Manager
A Product Manager is a professional who manages the development and launch of new products. Deep learning is a powerful tool for product development, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
Marketing Manager
Marketing Manager
A Marketing Manager is a professional who plans and executes marketing campaigns. Deep learning is a powerful tool for marketing, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
Data Engineer
Data Engineer
A Data Engineer is a professional who designs, builds, and maintains data pipelines. Deep learning is a powerful tool for data engineering, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst is a professional who uses mathematical and statistical models to analyze financial data. Deep learning is a powerful tool for quantitative analysis, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
Actuary
Actuary
An actuary is a professional who uses mathematics and statistics to assess risk. Deep learning is a powerful tool for actuarial science, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
Software Engineer
Software Engineer
A Software Engineer is a professional who designs, builds, and maintains software applications. Deep learning is a powerful tool for software development, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
Business Analyst
Business Analyst
A Business Analyst is a professional who analyzes business processes and recommends improvements. Deep learning is a powerful tool for business analysis, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
Operations Research Analyst
Operations Research Analyst
An Operations research analyst is a professional who uses mathematical and statistical models to solve business problems. Deep learning is a powerful tool for operations research, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
Statistician
Statistician
A Statistician is a professional who collects, analyzes, and interprets data. Deep learning is a powerful tool for statistics, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
Management Consultant
Management Consultant
A Management Consultant is a professional who advises businesses on how to improve their operations. Deep learning is a powerful tool for management consulting, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
Financial Analyst
Financial Analyst
A Financial Analyst is a professional who analyzes financial data to make investment recommendations. Deep learning is a powerful tool for financial analysis, and this course will provide you with the skills and knowledge to apply deep learning to marketing problems. This will make you a more valuable asset to any organization.
For more career information including salaries, visit:
OpenCourser.com/course/hkg8tg/deep
Reading list
We've selected 11 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 Marketing.
Save
Provides a practical guide to using machine learning for marketing tasks, including customer segmentation, lead scoring, and churn prediction. It valuable resource for anyone interested in using machine learning to improve their marketing campaigns.
Provides a comprehensive overview of deep learning techniques for time series analysis, including forecasting, anomaly detection, and sequence generation. It valuable resource for anyone interested in using deep learning for marketing tasks that involve time series data.
Provides a comprehensive overview of deep learning with R, including convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone interested in using deep learning for marketing tasks in R.
Provides a comprehensive overview of deep learning with Python, including convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone interested in building deep learning models for marketing tasks.
Provides a comprehensive overview of deep learning techniques for computer vision, including image classification, object detection, and image segmentation. It valuable resource for anyone interested in using deep learning for marketing tasks that involve images.
Provides a comprehensive overview of natural language processing with Python, including text preprocessing, tokenization, stemming, and lemmatization. It valuable resource for anyone interested in using deep learning for marketing tasks that involve text.
Provides a practical introduction to machine learning using Python and popular libraries such as scikit-learn, Keras, and TensorFlow. It covers a wide range of topics, including data preprocessing, model training, and evaluation.
Provides a practical guide to using machine learning for predictive analytics, including regression, classification, and clustering. It valuable resource for anyone interested in using machine learning to make predictions about future events.
Provides a comprehensive overview of machine learning algorithms, including regression, classification, and clustering. It valuable resource for anyone interested in understanding the underlying principles of machine learning.
Save
Provides a gentle introduction to machine learning for beginners. It covers a wide range of topics, including data preprocessing, model training, and evaluation.
Provides a gentle introduction to machine learning with Python for beginners. It covers a wide range of topics, including data preprocessing, model training, and evaluation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hkg8tg/deep
Share
Similar courses
Here are nine courses similar to
Deep Learning Application for Marketing.
Harnessing HubSpot AI: Intelligent Marketing Success
OpenCourser.com/course/dhoq9p/harnessing
Harnessing HubSpot AI: Intelligent Marketing Success
Digital Media and Marketing Strategies
OpenCourser.com/course/cabl4n/digital
Digital Media and Marketing Strategies
Deep Learning Application for Retail
OpenCourser.com/course/1xt8id/deep
Deep Learning Application for Retail
Digital Marketing Strategy
OpenCourser.com/course/9d69kt/digital
Digital Marketing Strategy
The Digital Marketing Revolution
OpenCourser.com/course/ydlmwt/the
The Digital Marketing Revolution
School gardens for future citizens
OpenCourser.com/course/3yfcbu/school
School gardens for future citizens
Master Course : Big Data for HR, Marketing and Finance 2.0
OpenCourser.com/course/hbhvb9/master
Master Course : Big Data for HR, Marketing and Finance 2.0
Effective Corporate Communication: Principles & Evolution
OpenCourser.com/course/xciyhj/effective
Effective Corporate Communication: Principles & Evolution
Digital Marketing Trends
OpenCourser.com/course/ixmucs/digital
Digital Marketing Trends
Time
53 hours
Level
Introductory
Via
Pluralsight
Instructor
Netta Tzin
Language
English
Good to know
Develops professional skills in deploying Deep Learning in the marketing world
Suitable for intermediate learners seeking to strengthen their Deep Learning knowledge in a marketing context
Teaches approaches and algorithms to simplify marketing processes using Deep Learning
Covers case studies related to Deep Learning applications in marketing, providing practical insights for learners
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