04 - Understanding data: Part 3

Step into the world of Artificial Intelligence with a beginner-friendly e-book designed to make AI feel clear, practical, and approachable.

This e-book introduces the foundations of AI without overwhelming you with heavy technical jargon. Instead of jumping straight into complex formulas and algorithms, it begins with simple analogies that explain how Machine Learning works in real life, helping you understand the “big picture” before exploring the details.

Perfect for students, beginners, professionals, entrepreneurs, and curious learners, this e-book is your gentle first step into the exciting world of AI and Machine Learning.

What You’ll Learn:

• Introduction to quantifying correlation of data via:

1. Pearson’s correlation,
2. Spearman correlation, and
3. Cramer’s V correlation

• Data visualization diagrams such as scatter plot, pair plot, hexbin plot, and correlation matrix
• Quantifying redundancy of data via correlation-based measures

Ideal for: Anyone who wants to understand AI from scratch without feeling intimidated. No mathematical background is needed at all! For seamless learning continuity, kindly study the chapters within the e-book(s) preceding this chapter.