Publisher's Synopsis
Unlock the Power of Artificial Intelligence - No Experience Needed!
Are you curious about artificial intelligence but feel overwhelmed by complex jargon and intimidating math? AI & Machine Learning Essentials for Absolute Beginners is your ultimate guide to understanding and using AI in the real world-no coding or technical background required.
Packed with relatable stories, real-world case studies, and step-by-step tutorials, this book takes you on an inspiring journey through the world of AI. From smart assistants and healthcare innovations to personalized shopping and ethical dilemmas, discover how AI works-and why it matters.
No prior experience required
Real-life examples from 2025 and beyond
Step-by-step machine learning project you can build today
Covers ethics, careers, tools, policy, and the future of AI
Includes both code and no-code solutions
Whether you're a student, educator, policymaker, or curious learner, this book makes AI engaging, practical, and empowering.
Start your AI journey today. The future belongs to those who understand it.
Introduction: The AI Revolution - How Machines Learn
- Inspiring stories of AI in daily life
- The need for AI literacy in today's world
- AI applications you already use
- Why AI is transforming society
- Definitions and history
- AI vs. ML vs. DL
- Types of AI systems
- Supervised, unsupervised, reinforcement learning
- Data, features, training/testing
- How data powers AI
- What algorithms really are
- Real-world applications and common challenges
- Python, Jupyter, Colab, scikit-learn, TensorFlow
- No-code platforms like Lobe, Teachable Machine
- Setting up your environment
- A step-by-step beginner project
- Classify images using code or no-code tools
- Neural networks explained
- Use cases and model training basics
- Tools like Keras and PyTorch
- Healthcare, finance, transport, retail, agriculture
- Mini-stories from 2020-2025
- Bias, fairness, transparency
- Regulation, privacy, accountability
- AI in schools and careers
- National strategies and civic participation
- Generative AI, quantum computing, edge AI
- Future trends, ethical horizons, and lifelong learning
- Glossary of AI terms
- No-code and coding tools
- Recommended books, courses, and datasets
- Public domain image sources
Let this book be your accessible companion into the world of artificial intelligence-clear, current, and made for you.
