Artificial Intelligence: An In-Depth Introduction

<p>This book Artificial Intelligence: An In-Depth Introduction is designed to demystify AI making it accessible to everyone.</p><p>Below is a summary of the main subjects discussed:</p><p>1. Artificial Intelligence (AI): AI's foundational technology machine learning gives computers the capacity to learn from data without the need for explicit programming.</p><p>2. The application of deep learning (DL): Deep Learning a subtype of machine learning processes massive quantities of data by simulating the neural networks found in the human brain which makes it ideal for complicated tasks.</p><p>3. Robotic Process Automation (RPA): Industries are changing as software robots automate monotonous rule-based operations.</p><p>4. Computer Vision: Computer Vision allows machines to interpret and understand the visual world with applications from facial recognition to medical image analysis.</p><p>5. Natural Language processing(NLP): Through the use of natural language processing (NLP) computers are able to comprehend interpret and produce human language.</p><p>6. Generative AI: Generative AI goes beyond mere automation by creating new human-like content from text to images music and even video.</p><p>7. Ethical Considerations in AI: As AI technologies evolve ethical concerns arise.</p><p>8. Building AI Systems: From Data to Inference and building a successful AI system requires more than just algorithms.</p><p>This book gives you the fundamental information you need to flourish in the AI-driven future.</p>