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OPENING CREDITS
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Copyright Page
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Introduction: Unveiling the Power of AI in Data Science
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Chapter 1: The Basics of AI and Data Science
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Chapter 2: Data Collection and Preprocessing
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Chapter 3: Machine Learning Models in Data Science
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Chapter 4: Deep Learning in Data Science
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Chapter 5: Success Stories of AI in Data Science
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Chapter 6: Ethical Considerations and Challenges
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Chapter 7: The Future of AI in Data Science
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Chapter 8: Real-World Applications of AI
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Chapter 9: Tools and Techniques for AI in Data Science
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Chapter 10: Building Your AI Project
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Conclusion: Embracing the Future of AI
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Appendix A: Glossary of AI Terms
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Appendix B: Additional Resources
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Appendix C: Real-World Case Studies
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Further Reading: Agentic AI: The Rise of Autonomous Agents in 2025
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OTHER BOOKS Also By AI Guru
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CLOSING CREDITS
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