### 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