Artificial Intelligence

Artificial Intelligence

Artificial Intelligence suggest that machines can mimic humans in:

  • Talking
  • Thinking
  • Learning
  • Planning
  • Understanding

Human Intelligence

About 70 000 years ago, the human brain started to develop “Cognitive Intelligence”:

  • Being able to understand numbers
  • Being able to understand a language
  • Being able to understand abstract thinking


Cognitive intelligence created:

  • Mind
  • Words
  • Numbers


Cognitive intelligence also created:

  • Numbers
  • Counting
  • Calculating


AI is a result of the human need for doing Complex Calculations.

This can only be achieved using high speed computers.


The main branches of Mathematics involved in AI are:

  • Linear Functions
  • Linear Graphics
  • Linear Algebra
  • Probability
  • Statistics

These chapters provide content about the branches of mathematics that is used in data science projects (machine learning / deep learning).

Linear Algebra

AI experts cannot live without this Algebra:

  • AI make use of Scalars
  • AI make use of Vectors
  • AI make use of Matrices
  • AI make use of Tensors

Linear Grapics

  • Linear means straight
  • A linear graph is a straight line
  • In general, a linear graph displays a Linear Function


Probability is about how likely something is
Probability is a number between 0 and 1


How to collect, analyze, interpret, and present data.

  • What is the most Common?
  • What is the most Expected?
  • What is the most Normal?

AI Sciences

  • Clustering
  • Regressions
  • Perceptrons
  • Training