Embark on a journey through the fascinating world of artificial intelligence, designed for individuals with no technical background. This audiobook is tailored for marketers, entrepreneurs, students, and professionals who want to engage with AI from a practical and ethical standpoint, without diving into complex algorithms or coding. The audiobook begins with an exploration of AI fundamentals, providing a clear and approachable foundation of concepts, terminology, and real-world applications.
As you progress, you'll encounter practical thought experiments designed to make AI's impact more tangible. Each chapter carefully guides you through essential topics such as machine learning, deep learning, and natural language processing, focusing on how these technologies are already affecting industries today. You’ll also explore the ethical implications of AI, understanding how privacy and fairness come into play when designing AI solutions.
By the end of this course, you’ll be equipped with the knowledge to participate in crucial discussions and decision-making processes regarding AI in your organization or daily life. This audiobookis ideal for those who want to build a solid understanding of AI without the need for technical expertise, empowering you to think critically and responsibly about AI’s future.

Osoby które kupowały "AI for Absolute Beginners. Building a Future Where Humans and Machines Thrive Together: A Non-Technical Introduction to AI", wybierały także:

• Jak zhakowa 125,00 zł, (10,00 zł -92%)
• Windows Media Center. Domowe centrum rozrywki 66,67 zł, (8,00 zł -88%)
• Ruby on Rails. Ćwiczenia 18,75 zł, (3,00 zł -84%)
• Efekt piaskownicy. Jak szefować żeby roboty nie zabrały ci roboty 59,50 zł, (11,90 zł -80%)
• Web scraping w Pythonie. Kurs video. Od pobrania kodu 190,00 zł, (39,90 zł -79%)

Spis treści

AI for Absolute Beginners. Building a Future Where Humans and Machines Thrive Together: A Non-Technical Introduction to AI Audiobook -- spis treści

• 1. Opening Credits
• 2. Prologue
• 3. Chapter 1: Introduction
• 4. Chapter 2: A Brief History
• 5. Chapter 3: AI Building Blocks
• 6. Chapter 4: The 3 Stages of AI Development
• 7. Chapter 5: Machine Learning
• 8. Chapter 6: Deep Learning
• 9. Chapter 7: Natural Language Processing
• 10. Chapter 8: Generative AI
• 11. Chapter 9: Recommender Systems
• 12. Chapter 10: Computer Vision
• 13. Chapter 11: Privacy & Ethical Considerations
• 14. Chapter 12: The Future of Work
• 15. Further Resources
• 16. Closing Credits