Artificial Intelligence in Business Explained
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- Comprehensive Ai Introduction
- Machine and Deep Learning, Nlp, Computer Vision
- Ai’s Potential Everyday Applications
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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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Lily Harris Verified Buyer –
I now understand why AI is considered the future of technology. This book does a fantastic job explaining both its potential and its challenges.
Caleb James Verified Buyer –
If you’re looking for an easy-to-understand AI book with real-world applications, this is it.
Benjamin Carter Verified Buyer –
I wasn’t expecting to understand neural networks in just a few chapters, but this book made it possible!
Charlotte Perez Verified Buyer –
What I love about this book is how well-organized it is. It starts with simple concepts and gradually introduces more advanced topics without overwhelming the reader.
Matthew Cameron Verified Buyer –
I picked this book up because I wanted to learn AI fundamentals before diving into coding, and it was exactly what I needed.
Sarah Jenkins Verified Buyer –
AI is everywhere, and this book does a great job explaining why. It’s the perfect introduction for anyone wanting to understand the basics without getting too technical.
Ethan Davis Verified Buyer –
The practical examples in this book made a huge difference. It’s one thing to read about AI theories, but seeing how they’re applied in real life makes it so much more interesting.
Samuel Ward Verified Buyer –
I loved how this book explained machine learning in a way that actually made sense. The examples helped connect theory to real-life applications.
Lucas Roberts Verified Buyer –
I’ve read a few AI books, but this is by far the most accessible one. It’s well-structured, engaging, and provides practical insights on how AI is used today.
Grace Wood Verified Buyer –
AI is such a broad topic, but this book covers all the essential concepts without making it feel too technical. Perfect for someone just starting out!