09 - Handling data: Part 2

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:

• Techniques to deal with raw data of high dimensionality
• Different types of feature selection methods
• Different types of feature extraction methods such as Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Linear Discriminant Analysis (LDA)
• Establishing and interpreting the correlation between Chi-Square Test, Cramer’s V correlation, and p-value

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.