Business Explained – Artificial Intelligence in Business Explained

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Business Explained – Artificial Intelligence in Business Explained

Introducing our comprehensive guide to Artificial Intelligence for beginners. From machine learning and natural language processing to computer vision and robotics, this book covers all the key concepts and techniques used in modern AI.

You will also learn about expert systems, neural networks, and deep learning, and how these technologies are used to evaluate and improve the performance of AI models.

Table of contents

1. Introduction to Artificial Intelligence

1.1 Different Types of Artificial Intelligence

2.The history of AI
3. AI techniques and algorithms
4. Machine learning
5. Natural language processing

5.1 Part of speech tagging
5.2 Named entity recognition
5.3 Sentiment analysis
5.4Language Translation
5.5 Text summarization

6. Computer vision

6.1 Image processing
6.2 Feature extraction
6.3Object recognition
6.4 Facial recognition
6.5 Scene understanding

7.Robotics

7.1 Consumer robots

8. Expert systems
9 .Neural networks
10. Deep learning

10.1 Advantages of deep learning

11. Evaluating and improving the performance of artificial intelligence models
12.Artificial intelligence vs. Machine learning vs. Deep learning
13. Power struggle in AI: who controls technology?
14. Debate on AI creativity: can machines be creative?
15. Overcoming the shortage of AI experts in the talent gap
16. The paradox of AI transparency: can we make AI explain itself?
17. AI and the future of human-computer interaction
18. The ethics of AI and robot rights
19. AI and the philosophy of mind
20. The AI apocalypse: risks and dangers of advanced AI
21. How can you make your everyday life easier with the power of AI?

21.1 Personal assistants
21.2 Smart home devices
21.3 Transportation
21.4 Healthcare
21.5 Education
21.6 Customer service

22. Legal and regulatory framework for AI
23. Enhancing human capabilities with AI
24. Conclusion

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