AI & Machine Learning Essentials for Absolute Beginners: Let this book be your accessible companion into the world of artificial intelligence?clear, . Technologies Series for Beginners)

Editor

Independently published

Fecha de publicaci�n

2025

Idioma

Ingl�s

ISBN 13

9798283219936

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

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Sinopsis

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.

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