Machine Learning and Generative AI for Marketing : Take your data-driven marketing strategies to the next level using Python
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....
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| Acceso en línea: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781835889411.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Machine learning and generative AI for marketing, take your data-driven marketing strategies to the next level using Python, Yoon Hyup Hwang, Nicholas C. Burtch, 2024, Birmingham, UK, Packt Publishing Ltd., 1 volume (xxiv-454 pages), Expert insight, 1-83588-940-9 |
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| 100 | 1 | |a Hwang, Yoon Hyup. | |
| 245 | 1 | 0 | |a Machine Learning and Generative AI for Marketing : |b Take your data-driven marketing strategies to the next level using Python |c Yoon Hyup Hwang, Nicholas C. Burtch. |
| 260 | |a Birmingham : |b Packt Publishing. | ||
| 260 | |a Paris : |b Cyberlibris, |c 2024. | ||
| 500 | |a Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781835889411.jpg | ||
| 500 | |a Cyberlibris (ScholarVox) corpus Informatique | ||
| 506 | |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris | ||
| 520 | |a 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 conversion rates, and increased net sales. 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. 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. What you will learn: Master key marketing KPIs with advanced computational techniques ; Use explanatory data analysis to drive marketing decisionsLeverage ML models to predict customer behaviors, engagement levels, and customer lifetime valueEnhance customer segmentation with ML and develop highly personalized marketing campaigns ; Design and execute effective A/B tests to optimize your marketing decisions ; Apply natural language processing (NLP) to analyze customer feedback and sentimentsIntegrate ethical AI practices to maintain privacy in data-driven marketing strategies. Who this book is for: This book targets a diverse group of professionals: Data scientists and analysts in the marketing domain looking to apply advanced AI ML techniques to solve real-world marketing challenges. Machine learning engineers and software developers aiming to build or integrate AI-driven tools and applications for marketing purposes. Marketing professionals, business leaders, and entrepreneurs who must understand the impact of AI on marketing. Reader are presumed to have a foundational proficiency in Python and a basic to intermediate grasp of ML principles and data science methodologies | ||
| 700 | 1 | |a Burtch, Nicholas C. |4 aut | |
| 776 | 0 | |0 282270345 |t Machine learning and generative AI for marketing |o take your data-driven marketing strategies to the next level using Python |f Yoon Hyup Hwang, Nicholas C. Burtch |d 2024 |c Birmingham, UK |n Packt Publishing Ltd. |p 1 volume (xxiv-454 pages) |s Expert insight |z 1-83588-940-9 | |
| 856 | 4 | |5 452349901:845620762 |u https://ezproxy.univ-orleans.fr/login?url=https://univ.scholarvox.com/book/88958295 |z Accès Université d'Orléans et IFPM | |
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