About This Book
Artificial Intelligence (AI) is the science of creating machines that can perform tasks requiring human
intelligence, such as problem-solving, learning, and decision-making. While the field can seem complex,
understanding its core principles does not require technical expertise. At its heart, AI is about teaching
machines to mimic human thinking and behavior. One fundamental concept in AI is machine learning
(ML), where computers learn from data instead of being explicitly programmed for specific tasks. For
example, a machine learning algorithm can analyze thousands of customer reviews to identify trends or
predict customer preferences. Another key area is natural language processing (NLP), which enables
machines to understand and respond to human language, as seen in virtual assistants like Siri and Alexa.
AI applications are everywhere. In healthcare, AI analyzes patient data to suggest treatments. In finance,
it detects fraud and predicts market trends. In everyday life, it powers recommendation systems for
streaming platforms and e-commerce. Though promising, AI also raises ethical concerns, including bias
in algorithms and the impact on jobs. However, understanding AI's basics helps demystify the
technology and highlights its potential to enhance our lives. This book provides an accessible
introduction, empowering readers to engage with AI thoughtfully and confidently. This book offers a
clear and accessible introduction to the fundamentals of Artificial Intelligence, designed for readers
without a technical background.
Contents: 1. Introduction, 2. Techniques in Artificial Intelligence, 3. Speech Recognition, 4. A Structured
Approach to Artificial Intelligence, 5. Artificial Neural Network, 6. Intelligent Systems and Large-Scale Big
Data Processing, 7. Privacy Challenges in Artificial Intelligence.
