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03 - Understanding data: Part 2

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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:

  • Different types of quantiles for segmenting data 
  • Different types of measures of dispersion for quantifying spread of data
  • Establishing outliers of data
  • Data visualization diagrams such as box plot and histogram


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.


You will get a PDF (7MB) file