AI & Machine Learning Essentials for Absolute Beginners: Let this book be your accessible companion into the world of artificial intelligence-clear, c (Paperback) (ISBN-13: 9798283219936)

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

Chapter 1: The AI Revolution - How Machines Learn

• AI applications you already use
• Why AI is transforming society

Chapter 2: What is Artificial Intelligence?

• Definitions and history
• AI vs. ML vs. DL
• Types of AI systems

Chapter 3: Fundamentals of Machine Learning

• Supervised, unsupervised, reinforcement learning
• Data, features, training/testing

Chapter 4: Data and Algorithms

• How data powers AI
• What algorithms really are
• Real-world applications and common challenges

Chapter 5: Tools of the Trade

• Python, Jupyter, Colab, scikit-learn, TensorFlow
• No-code platforms like Lobe, Teachable Machine
• Setting up your environment

Chapter 6: Project - Build Your First Classifier

• A step-by-step beginner project
• Classify images using code or no-code tools

Chapter 7: Deep Learning Made Simple

• Neural networks explained
• Use cases and model training basics
• Tools like Keras and PyTorch

Chapter 8: AI in the Real World - Case Studies

• Healthcare, finance, transport, retail, agriculture
• Mini-stories from 2020-2025

Chapter 9: Ethical AI and Society

• Bias, fairness, transparency
• Regulation, privacy, accountability

Chapter 10: AI for Everyone - Education and Policy

• AI in schools and careers
• National strategies and civic participation

Chapter 11: The Road Ahead in AI

• Generative AI, quantum computing, edge AI
• Future trends, ethical horizons, and lifelong learning

Appendices and Further Resources

• Glossary of AI terms
• No-code and coding tools
• Recommended books, courses, and datasets
• Public domain image sources

About the Author
Let this book be your accessible companion into the world of artificial intelligence-clear, current, and made for you.

Author: Israel Carlos Lomovasky
ISBN-13: 9798283219936
Publisher: Independently Published
Language: English
Published: 05/09/2025
Pages: 78
Format: Paperback
Weight: 0.26lbs
Size: 9.00h x 6.00w x 0.16d