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AI Marketing Blueprint: Real-World Machine Learning and Generative AI with Python

by Edward, Lucas

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Description

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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Product Details

  • Jul 10, 2025 Pub Date:
  • 9798291962060 ISBN-10:
  • 9798291962060 ISBN-13:
  • English Language