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Can I read Machine Learning and Generative AI for Marketing: Take Your Data-Driven Marketing Strategies to the Next Level Using Python on EtoBox?
Machine Learning and Generative AI for Marketing: Take Your Data-Driven Marketing Strategies to the Next Level Using Python by Yoon Hyup Hwang, Nicholas C. Burtch is a nonfiction available to read on EtoBox.
What is Machine Learning and Generative AI for Marketing: Take Your Data-Driven Marketing Strategies to the Next Level Using Python about?
Start transforming your data-driven marketing strategies and increasing customer engagement. Learn how to create compelling marketing content using advanced gen AI techniques and stay in touch with the future AI ML landscape. Purchase of the print or Kindle book includes a free eBook in PDF format Key Features Enhance customer engagement and personalization through predictive analytics and advanced segmentation techniques Combine Python programming with the latest advancements in generative AI to create marketing content and address real-world marketing challenges Understand cutting-edge AI concepts and their responsible use in marketing Book Description In the dynamic world of marketing, the integration of artificial intelligence (AI) and machine learning (ML) is no longer just an advantage—it's a necessity. Moreover, the rise of generative AI (GenAI) helps with the creation of highly personalized, engaging content that resonates with the target audience. This book provides a comprehensive toolkit for harnessing the power of GenAI to craft marketing strategies that not only predict customer behaviors but also captivate and convert, leading to improved cost per acquisition, boosted
Who reads Machine Learning and Generative AI for Marketing: Take Your Data-Driven Marketing Strategies to the Next Level Using Python?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Yoon Hyup Hwang, Nicholas C. Burtch
- Publisher
- Packt Publishing, Limited
- Published
- 2024
- Language
- EN
- ISBN
- 9781835889404
- Category
- nonfiction
- Subjects
- Management, Business, Computer Science
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