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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Charlotte Richardson Verified Buyer –
I finished this book in just a few days because I couldn’t put it down! The writing style is engaging, and the examples are very relatable.
Gabriel Roberts Verified Buyer –
One of the best AI books for beginners! It’s clear, concise, and doesn’t assume you have prior knowledge of the topic. Highly recommend!
Ruby Smith Verified Buyer –
I picked up this book as an introduction to AI before taking an online course, and I’m so glad I did. It gave me a solid foundation that made the course much easier to follow.
Thomas Ward Verified Buyer –
The real-world applications of AI discussed in this book were eye-opening. It made me realize just how much AI is already shaping our world!
Zoey Jenkins Verified Buyer –
As someone from a non-tech background, I was amazed at how well this book explained AI. I now understand key concepts without feeling overwhelmed by technical details.
Oliver Cameron Verified Buyer –
I was looking for an AI book that wouldn’t bore me with too much theory, and this one was perfect. The practical examples kept me engaged the whole time!
Caleb Roberts Verified Buyer –
The section on deep learning was particularly fascinating. It explained neural networks in a way that finally made sense to me. Definitely a great read!
Leo Richardson Verified Buyer –
I was skeptical at first, but this book truly delivers. It’s well-written, engaging, and packed with useful insights about AI and its impact on different industries.
Nora Ward Verified Buyer –
If you’re looking for a beginner-friendly AI book that doesn’t assume prior knowledge, this is it! The author does a great job explaining everything in a way that’s easy to digest.
Alexis Green Verified Buyer –
The best part about this book is its structure. It starts with the fundamentals and gradually builds up to more advanced concepts without ever feeling overwhelming. Perfect for beginners like me!