AI and Machine Learning for Beginners: A Practical Guide to Data, Algorithms, and Ethical AI Development
AI and Machine Learning for Beginners: A Practical Guide to Data, Algorithms, and Ethical AI Development
English | 2025 | ISBN: 9798227699244 | Pages: 163 | PDF | 2.23 MB
English | 2025 | ISBN: 9798227699244 | Pages: 163 | PDF | 2.23 MB
Discover how artificial intelligence is changing the world—and how you can be part of it.
Are you curious about AI but overwhelmed by all the jargon? You're not alone. Most beginners struggle to find a clear, friendly introduction that doesn't feel like a college textbook.
That's why
AI and Machine Learning for Beginners
breaks it all down in plain English. From how algorithms actually work to what makes a neural network "deep," this guide gives you the big picture—without the big confusion.
Inside, you'll learn:
How machines "learn" from data, and what that means in real life
The difference between supervised and unsupervised learning
What powers tools like ChatGPT, facial recognition, and self-driving cars
Which ethical issues developers (and users) need to understand
Hands-on ways to start your own AI journey with open-source tools
Whether you're a student, a tech-curious reader, or a future developer, this book gives you a complete foundation—no prior experience needed.
Start learning the future today—grab your copy of
AI and Machine Learning for Beginners
now.