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

Languages

Cognitive intelligence created:

• Mind
• Words
• Numbers

Numbers

Cognitive intelligence also created:

• Numbers
• Counting
• Calculating

Computers

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

This can only be achieved using high speed computers.

Mathematics

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

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

Statistics

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

Machine Learning

• Perceptrons
• Recognition
• Training
• Testing

TensorFlow.js

• Tutorial
• Operations
• Visor
• Models

JavaScript Graphics

• Canvas
• Plotly.js
• Chart.js
• Google Chart