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The AI Marketing Blueprint: Real-World Machine Learning and Generative AI with Python: 4 (Artificial intelligence) - Softcover
Inhaltsangabe
Unlock the Future of Marketing with AI-Powered Precision
Are you ready to stop guessing and start dominating your market with smarter, faster, and more personalized marketing strategies?
The AI Marketing Blueprint is your hands-on guide to transforming real-world business challenges into data-driven solutions using the latest in machine learning and generative AI—all powered by Python.
This book isn’t just theory. It’s a practical playbook built for marketers, developers, and entrepreneurs who want to implement AI now—not someday. Whether you're optimizing customer segmentation, building predictive models, or generating personalized content at scale, this guide walks you through real-world projects step by step.
What You’ll Learn Inside:- Build real ML-powered marketing tools using Python and popular libraries like Scikit-learn, Pandas, and TensorFlow
- Leverage generative AI (like GPT and LLMs) to create email campaigns, ads, and landing pages that convert
- Understand customer behavior through advanced analytics, clustering, and churn prediction
- Automate workflows with AI agents and integrate them into your existing stack
- Deploy smarter personalization strategies that keep your audience engaged and loyal
Each chapter includes ready-to-run code, clear business use cases, and implementation tips to help you go from data to decision in record time—without needing a PhD in data science.
Who This Book Is For:- Digital marketers who want to work smarter with AI
- Data-savvy entrepreneurs building AI-first products
- Python developers seeking real-world applications in marketing
- Business leaders and growth hackers ready to scale with intelligent automation
Your competitors are already using AI.
The only question is: will you catch up—or leap ahead?
Grab your copy of The AI Marketing Blueprint and start building your AI-powered marketing engine today.
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The AI Marketing Blueprint: Real-World Machine Learning and Generative AI with Python (Artificial intelligence)
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Paperback. Zustand: new. Paperback. Unlock the Future of Marketing with AI-Powered PrecisionAre you ready to stop guessing and start dominating your market with smarter, faster, and more personalized marketing strategies?The AI Marketing Blueprint is your hands-on guide to transforming real-world business challenges into data-driven solutions using the latest in machine learning and generative AI-all powered by Python.This book isn't just theory. It's a practical playbook built for marketers, developers, and entrepreneurs who want to implement AI now-not someday. Whether you're optimizing customer segmentation, building predictive models, or generating personalized content at scale, this guide walks you through real-world projects step by step.What You'll Learn Inside: Build real ML-powered marketing tools using Python and popular libraries like Scikit-learn, Pandas, and TensorFlowLeverage generative AI (like GPT and LLMs) to create email campaigns, ads, and landing pages that convertUnderstand customer behavior through advanced analytics, clustering, and churn predictionAutomate workflows with AI agents and integrate them into your existing stackDeploy smarter personalization strategies that keep your audience engaged and loyalEach chapter includes ready-to-run code, clear business use cases, and implementation tips to help you go from data to decision in record time-without needing a PhD in data science.Who This Book Is For: Digital marketers who want to work smarter with AIData-savvy entrepreneurs building AI-first productsPython developers seeking real-world applications in marketingBusiness leaders and growth hackers ready to scale with intelligent automationYour competitors are already using AI.The only question is: will you catch up-or leap ahead?Grab your copy of The AI Marketing Blueprint and start building your AI-powered marketing engine today. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798291962060
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