Artificial Intelligence in Business Explained
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- Comprehensive Ai Introduction
- Machine and Deep Learning, Nlp, Computer Vision
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About 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.
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Table of contents 
- Introduction to Artificial Intelligence
- Different Types of Artificial Intelligence
- The history of AI
- AI techniques and algorithms
- Machine learning
- Natural language processing
- Part of speech tagging
- Named entity recognition
- Sentiment analysis
- Language Translation
- Text summarization
- Computer vision
- Image processing
- Feature extraction
- Object recognition
- Facial recognition
- Scene understanding
- Robotics
- Consumer robots
- Expert systems
- Neural networks
- Deep learning
- Advantages of deep learning
- Evaluating and improving the performance of artificial intelligence models
- Artificial intelligence vs. Machine learning vs. Deep learning
- Power struggle in AI: who controls technology?
- Debate on AI creativity: can machines be creative?
- Overcoming the shortage of AI experts in the talent gap
- The paradox of AI transparency: can we make AI explain itself?
- AI and the future of human-computer interaction
- The ethics of AI and robot rights
- AI and the philosophy of mind
- The AI apocalypse: risks and dangers of advanced AI
- How can you make your everyday life easier with the power of AI?
- Personal assistants
- Smart home devices
- Transportation
- Healthcare
- Education
- Customer service
- Legal and regulatory framework for AI
- Enhancing human capabilities with AI
- Conclusion
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Nathan Martin Verified Buyer –
Whether you’re a student, entrepreneur, or just someone curious about AI, this book is a great starting point. It’s engaging and full of valuable insights.
Lucas Martin Verified Buyer –
This book gave me a solid understanding of AI fundamentals, making it easier for me to follow discussions on the topic. Great resource for beginners!
Lily Morris Verified Buyer –
The section on deep learning was fascinating! I always struggled to understand neural networks, but this book made it so much clearer.
Benjamin Jones Verified Buyer –
I bought this book for a research project, and it exceeded my expectations. Clear explanations, great examples, and a logical structure.
Victoria Anderson Verified Buyer –
This book not only teaches AI concepts but also explains why they matter. The section on AI ethics and bias was particularly insightful!
Zoe Bennett Verified Buyer –
AI can be a daunting subject, but this book makes it so much more approachable. The section on expert systems was especially interesting!
Jack Cameron Verified Buyer –
The way the book explains machine learning is excellent. It provides just the right amount of detail without overwhelming the reader.
Isabella Wood Verified Buyer –
What I love most about this book is its practical approach. Instead of just theory, it provides real-world applications of AI, helping me see how these technologies impact our daily lives.