Machine Learning and Generative AI for Marketing. (Record no. 15228)
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| fixed length control field | 04168nam a2200277uu 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250710181508.0 |
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| fixed length control field | 250616s||||||||||||||||o||||||||||| |d |
| 024 80 - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 9781835889411 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | PACKT |
| Transcribing agency | PACKT |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | en |
| 044 ## - COUNTRY OF PUBLISHING/PRODUCING ENTITY CODE | |
| MARC country code | GB |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Yoon Hyup Hwang |
| Relator term | author. |
| 245 00 - TITLE STATEMENT | |
| Title | Machine Learning and Generative AI for Marketing. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | GB: |
| Name of publisher, distributor, etc. | Packt, |
| Date of publication, distribution, etc. | 2024-08-30. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2024-08-30 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | GB: |
| Name of producer, publisher, distributor, manufacturer | Packt, |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 482. |
| 377 ## - ASSOCIATED LANGUAGE | |
| Language code | en |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | <p><b>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.<br/>Purchase of the print or Kindle book includes a free eBook in PDF format</b></p><h4>Key Features</h4><ul><li>Enhance customer engagement and personalization through predictive analytics and advanced segmentation techniques</li><li>Combine Python programming with the latest advancements in generative AI to create marketing content and address real-world marketing challenges</li><li>Understand cutting-edge AI concepts and their responsible use in marketing</li><li></li><li></li></ul><h4>Book Description</h4>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.<br/>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 conversion rates, and increased net sales.<br/>Starting with the basics of Python for data analysis and progressing to sophisticated ML and GenAI models, this book is your comprehensive guide to understanding and applying AI to enhance marketing strategies. Through engaging content & hands-on examples, you'll learn how to harness the capabilities of AI to unlock deep insights into customer behaviors, craft personalized marketing messages, and drive significant business growth. Additionally, you'll explore the ethical implications of AI, ensuring that your marketing strategies are not only effective but also responsible and compliant with current standards<br/>By the conclusion of this book, you'll be equipped to design, launch, and manage marketing campaigns that are not only successful but also cutting-edge.<h4>What you will learn</h4><ul><li>Master key marketing KPIs with advanced computational techniques</li><li>Use explanatory data analysis to drive marketing decisions</li><li>Leverage ML models to predict customer behaviors, engagement levels, and customer lifetime value</li><li>Enhance customer segmentation with ML and develop highly personalized marketing campaigns</li><li>Design and execute effective A/B tests to optimize your marketing decisions</li><li>Apply natural language processing (NLP) to analyze customer feedback and sentiments</li><li>Integrate ethical AI practices to maintain privacy in data-driven marketing strategies</li></ul><h4>Who this book is for</h4>This book targets a diverse group of professionals:<br/>Data scientists and analysts in the marketing domain looking to apply advanced AI ML techniques to solve real-world marketing challenges<br/>Machine learning engineers and software developers aiming to build or integrate AI-driven tools and applications for marketing purposes<br/>Marketing professionals, business leaders, and entrepreneurs who must understand the impact of AI on marketing<br/>Reader are presumed to have a foundational proficiency in Python and a basic to intermediate grasp of ML principles and data science methodologies. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Data in extended ASCII character set. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: Internet. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nicholas C. Burtch |
| Relator term | author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | PACKT |
| 773 0# - HOST ITEM ENTRY | |
| Title | Machine Learning and Generative AI for Marketing |
| Place, publisher, and date of publication | GB,Packt,2024-08-30 |
| Physical description | 482 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://learning.packt.com/product/476179">https://learning.packt.com/product/476179</a> |
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